Mirror of github.com/kouroshSA/ppiBTEP

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+assets/ppiBTEP.png filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1,48 @@
+# Model checkpoints
+*.pth
+*.pt
+out/
+out_*/
+
+# Data files
+*.csv
+*.bin
+*.pkl
+!requirements.txt
+# Reference / inference CSVs that ship with the repo
+!MED4_PRS_100.csv
+!MED4_RRS_100.csv
+!MED4-PPIs-low-confidence_ppiTEPM_prompts.csv
+
+# Python
+__pycache__/
+*.pyc
+*.pyo
+*.egg-info/
+dist/
+build/
+.eggs/
+
+# Environment
+.env
+*.env
+.venv/
+venv/
+
+# IDE
+.vscode/
+.idea/
+*.swp
+*.swo
+*~
+
+# OS
+.DS_Store
+Thumbs.db
+
+# Jupyter
+.ipynb_checkpoints/
+
+# Logs
+*.log
+wandb/

LICENSE

@@ -0,0 +1,28 @@
+MIT License
+
+Copyright (c) 2026 Kourosh Salehi-Ashtiani
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+
+---
+
+ppiBTEP (also designated SiameseBTPE) adapts the ESM-1b protein language
+model (Rives et al., 2021) for binary protein-protein interaction
+classification via Siamese (twin-branch) architecture.
+The ESM framework is by Meta AI Research.

MED4_PRS_100.csv

@@ -0,0 +1,101 @@
+MNTRKKNPKRGVGKTETNTEWLDKVINQLINKDFSQYL,MKLRLFEFYFIKDYLRPWFGLIYSLFFLFFLGAIGYRITEGWDWGDCLWMVLITITTIGFGEVQTLSPEGRIITVLIIVGGLIFIQFTFQKAVRLFESGYFQRVNELRFKRLLRKMENHVILCGYGRVGQEISNQIKTQNIPIIVVESDEDRKKIAEDNGLEVLCADATLDETLKLAGLDKCKSLVVTLPNDAANLYVVLSAKGIRSSIRVIARAGTEEAASKLRLAGASIVVSPYIAAGRAMASMALRPIAIDFLDLLAGSECEIEEFELSNDISLFETAEKITLLELGIGKKSGAKILAIKEDEKLITNPGGDFLLQPGQVLIAFGSKEQLTTLNRLLGNLVVSVELLK
+LVESTQSQDSNLGTRLQQDLKNDLIAGLLVVIPLATTIWLSSIVSKFVLTLVTSVPKQLNPFITLNPLLQDLINLTLGLTVPLLAILLIGLMARNFVGRWLLEFGEGTLSKIPVAGAVYKTLKQLLETFLSNKSNRFRRVVLVEYPREGLFSVGFVTGDVGPSLQSELDEKLLSVFIPTAPNPTTGWYTLVPESSVKDLAISVEDAFRTIISVGIVNPDEKDSSSNPTFSKLFSQLRASTNTSST,LVESTQSQDSNLGTRLQQDLKNDLIAGLLVVIPLATTIWLSSIVSKFVLTLVTSVPKQLNPFITLNPLLQDLINLTLGLTVPLLAILLIGLMARNFVGRWLLEFGEGTLSKIPVAGAVYKTLKQLLETFLSNKSNRFRRVVLVEYPREGLFSVGFVTGDVGPSLQSELDEKLLSVFIPTAPNPTTGWYTLVPESSVKDLAISVEDAFRTIISVGIVNPDEKDSSSNPTFSKLFSQLRASTNTSST
+LMHNRSLSRELSLLSLGLIKDTADLELNKIQIDEIFESALDSLINHCRDELDNCEADLENVSQHILDSELKEGSNSSFANVRDELKKAFYKMESVMNSLSVTLDFPKLIVSSNQIDIREDVNHRILSIINNLKSIDSEIDEVMDRWRLKRLPRVDRDILRLAYVDIHFLDTPVAVACDEAVNLANKYCDTQGRKMINGVLRRLQRVKVN,LMHNRSLSRELSLLSLGLIKDTADLELNKIQIDEIFESALDSLINHCRDELDNCEADLENVSQHILDSELKEGSNSSFANVRDELKKAFYKMESVMNSLSVTLDFPKLIVSSNQIDIREDVNHRILSIINNLKSIDSEIDEVMDRWRLKRLPRVDRDILRLAYVDIHFLDTPVAVACDEAVNLANKYCDTQGRKMINGVLRRLQRVKVN
+MNQFFSRRSFILIPIMSILKFILQPKKVLAAFAASDDDWNLSKEDWKNKLSPESYYILREEGTERAFSSQLNNEKRKGIFYCAGCNQPLFTSDTKFDSGTGWPSFWDPIQGSVETKVDFKLIVPRTEYHCSRCGGHQGHVFNDGPLPTGKRYCNNGLALKFIAE,MNQFFSRRSFILIPIMSILKFILQPKKVLAAFAASDDDWNLSKEDWKNKLSPESYYILREEGTERAFSSQLNNEKRKGIFYCAGCNQPLFTSDTKFDSGTGWPSFWDPIQGSVETKVDFKLIVPRTEYHCSRCGGHQGHVFNDGPLPTGKRYCNNGLALKFIAE
+LVKPKSPDNKISNHLQQDVVKIAGKTIFINPFLYWRRFDENTNRWLREPGQMSEEQIQPNRNRFYPEIDWADLSQNQKLVKDASVEMFLKTLELISTFHPQLNSGQLLEVERKMAITKKLPFEKWVTKSFAKKARAEEYEKRKFKRDRFIRSWKEWLSLENTQQALLPIIVVVFVSAFIGWSSGVSKNSCNPYFEQNLDQSI,MKGHKKIRFIFPLVAMYVPLLLLAPKAIAGSFGAEIFCTMRDGGNDHESSWQAAYSYIKKQKGGIFKTSPKQAAGQIIETVVRERDKFSYCVEFLDQLHPDRKLQLENDRKEKRRKKEELLQDKENEDYSKETFDRYSY
+MDKPKNKNFANTASRISAIASSVMDLHVRIALQEVDREKRRLISGGVFIAMGGILLLLVLISIHVIFYLTLSKLNNWATEYNLLLIIFVDLFLAGLSLKLGGKLAKGPYLPQTLEGLGKTTKAVLGKK,MDKPKNKNFANTASRISAIASSVMDLHVRIALQEVDREKRRLISGGVFIAMGGILLLLVLISIHVIFYLTLSKLNNWATEYNLLLIIFVDLFLAGLSLKLGGKLAKGPYLPQTLEGLGKTTKAVLGKK
+MQSKTKELDPILEVNNLFASIENLPILKGVTISVNPGEIHAIMGRNGCGKSTLSKIIAGHPSYKITKGEIKFTGNDIQSLEPEERAQSGIFLGFQYPIEIPGVSNLEFLRVATNARRKFLNKEELDTFDFEDLVKEKLDLVKMDSAFLSRSINQGFSGGEKKRNEILQMALLEPKIAILDETDSGLDIDALRIVASGIKKISNEETGIILITHYQRLLDEIQPDYVHVMSDGQIIKTGESDLALELEKHGYEWTDNFIKEQ,MQSKTKELDPILEVNNLFASIENLPILKGVTISVNPGEIHAIMGRNGCGKSTLSKIIAGHPSYKITKGEIKFTGNDIQSLEPEERAQSGIFLGFQYPIEIPGVSNLEFLRVATNARRKFLNKEELDTFDFEDLVKEKLDLVKMDSAFLSRSINQGFSGGEKKRNEILQMALLEPKIAILDETDSGLDIDALRIVASGIKKISNEETGIILITHYQRLLDEIQPDYVHVMSDGQIIKTGESDLALELEKHGYEWTDNFIKEQ
+MSKVEIYTWRFCPFCIRAKSLLEKKNITFTEHKIDGDDNARELMMERANGKRTVPQIFIDDKSIGGCDELYELEKEDKLDLLLN,MSKVEIYTWRFCPFCIRAKSLLEKKNITFTEHKIDGDDNARELMMERANGKRTVPQIFIDDKSIGGCDELYELEKEDKLDLLLN
+VQFIDQANIILKAGKGGNGIVSFRREKFVPAGGPSGGNGGKGGSIIIIADNNLQTLLDFKFNREIFAKDGFKGGPNKRSGASGENTILKVPCGTEIRDFNTGIILGDLTEDKQSLTIAHGGRGGHGNAYYLSNQNRAPESFTEGKEGEIWEVQLELKLLAEVGIIGLPNAGKSTLISVLSSARPKIANYPFTTLIPNLGVVRKADGNGCLFADIPGLISGAAEGVGLGHDFLRHIQRTKILIHLIDSIAENPIRDFEIIEKELKRYGSGLLNKERIVVLNKMELVDENYLQTITKKLENLSKKKVLVISSSLRKGLSPLLSEVWKRI,VPNNQNRDNFIDKAFTVIAESIVKIMPIADKEKKAYIYYRDGLAAQNNGDYSEALDYYNESLLLEENKIDRGETLKNMAIIYMSNGEEDRSIETYQKALEENPKQPSCLKNIGLIYEKRGRFAEQNGDLDQRDMWFDKAAQVWSKAVRLYPGGYLDIENWLKTSGRSSIDIYL
+MTTIQQQRTSLLKGWPQFCEWVTSTNNRIYVGWFGVLMIPCLLAAAACFIVAFIAAPPVDIDGIREPVAGSFLYGNNIISGAVVPSSNAIGLHFYPIWEAATVDEWLYNGGPYQLVIFHFLIGISAYMGRQWELSYRLGMRPWICVAYSAPVSAAFAVFLVYPFGQGSFSDGMPLGISGTFNFMFVFQAEHNILMHPFHMAGVAGMFGGSLFSAMHGSLVTSSLIRETTETESQNYGYKFGQEEETYNIVAAHGYFGRLIFQYASFNNSRSLHFFLAVFPVVCVWLTSMGICTMAFNLNGFNFNQSVVDANGKIVPTWGDVLNRANLGMEVMHERNAHNFPLDLAAAESTTVALTAPAIG,MTTIQQQRTSLLKGWPQFCEWVTSTNNRIYVGWFGVLMIPCLLAAAACFIVAFIAAPPVDIDGIREPVAGSFLYGNNIISGAVVPSSNAIGLHFYPIWEAATVDEWLYNGGPYQLVIFHFLIGISAYMGRQWELSYRLGMRPWICVAYSAPVSAAFAVFLVYPFGQGSFSDGMPLGISGTFNFMFVFQAEHNILMHPFHMAGVAGMFGGSLFSAMHGSLVTSSLIRETTETESQNYGYKFGQEEETYNIVAAHGYFGRLIFQYASFNNSRSLHFFLAVFPVVCVWLTSMGICTMAFNLNGFNFNQSVVDANGKIVPTWGDVLNRANLGMEVMHERNAHNFPLDLAAAESTTVALTAPAIG
+MSKVELISLTPEAEKTMAYIARVSNPSNQANDKFAGLLRYCIKHEHWSVFEQSCMTLKIETNRGIAAQILRHRSFTFQEFSQRYAETSLLGNEIPIPNLRRQDQKNRQNSIDDIPDELKIKFSEKISKHFQEANKLYEEMLNEGIAKECARFIMPLATPTRIYMTGSCRSWIHYIQLRSKEGTQKEHMEIAEDCKKVFIKYFPSVSEALNWE,MSKVELISLTPEAEKTMAYIARVSNPSNQANDKFAGLLRYCIKHEHWSVFEQSCMTLKIETNRGIAAQILRHRSFTFQEFSQRYAETSLLGNEIPIPNLRRQDQKNRQNSIDDIPDELKIKFSEKISKHFQEANKLYEEMLNEGIAKECARFIMPLATPTRIYMTGSCRSWIHYIQLRSKEGTQKEHMEIAEDCKKVFIKYFPSVSEALNWE
+VSGWLFIIFLLLLGGLISTLGDLLGSKIGKARFSILKLRPKKTAILITILTGSLISASSLFLMILVNRQLRVGLFRLGDLQKKLQESKQVLIPLEKEREKLENKIKAKETEFKQLERNIIALRSGKFVIRSGQSLIISEISSSNLKDIKSKIEKIIINANRYTHKIVKPKNKEVKNLLLLRKNHIEEMQNIILKGGNWVINIKSVRNVLTGENFVYAFPEITENKIIVRKGEKITKIDFKQEDFNKKDFGDKVNFLLSSSLAEIKRRGSLVNEIKLRGDSIKELRDFLNKNDKTNFELEAVSLFNSKTAQPVIVELNVNYPES,VSGWLFIIFLLLLGGLISTLGDLLGSKIGKARFSILKLRPKKTAILITILTGSLISASSLFLMILVNRQLRVGLFRLGDLQKKLQESKQVLIPLEKEREKLENKIKAKETEFKQLERNIIALRSGKFVIRSGQSLIISEISSSNLKDIKSKIEKIIINANRYTHKIVKPKNKEVKNLLLLRKNHIEEMQNIILKGGNWVINIKSVRNVLTGENFVYAFPEITENKIIVRKGEKITKIDFKQEDFNKKDFGDKVNFLLSSSLAEIKRRGSLVNEIKLRGDSIKELRDFLNKNDKTNFELEAVSLFNSKTAQPVIVELNVNYPES
+MNDRIIEFEPLIEGILIKRYKRFLADIQIENGEIVTAHCANTGPMKGLLNEGANVRISFSSSTKRKLPWTWEQVKVIGRDNKEVWVGINTLFANKLIRKVIEQNLFKDKLGEIAKIKSEVPYGKDKKSRIDFLLTPKSSNPDNRNIYVEVKNTTWTKNNVALFPDTETKRGQKHLIELKGLIPESKSVLVPCITRKDIDYFAPGDESDPLYGELFRESISAGMLLIPCCFEFHSDHVAWKGFKPLKLN,MNDRIIEFEPLIEGILIKRYKRFLADIQIENGEIVTAHCANTGPMKGLLNEGANVRISFSSSTKRKLPWTWEQVKVIGRDNKEVWVGINTLFANKLIRKVIEQNLFKDKLGEIAKIKSEVPYGKDKKSRIDFLLTPKSSNPDNRNIYVEVKNTTWTKNNVALFPDTETKRGQKHLIELKGLIPESKSVLVPCITRKDIDYFAPGDESDPLYGELFRESISAGMLLIPCCFEFHSDHVAWKGFKPLKLN
+MRRSLRDSIVGFSLLGGLLVFTFFSFWLRGVKLSSKNWYLFAEFNNASGLSKKSPVTYRGILVGSIEDILFTNESIKAKIVLNNPEIILPKPAFARVVTNSFLGGDVQVALETSEKTIPKNTPKAISDKCDSKLIICQGDTITGKQLSSLSNITNRINQLLKESNQENLIENVVNSIDQFDKTQENLDELIYLSKQEIIRVKPLIKEVTIAAGHLNNILSTINDEETLKDIKLTIEAAESISGKFDNMSDDFEQLMKDKELTKSIRDLTIGLSKFLNEIYP,MRRSLRDSIVGFSLLGGLLVFTFFSFWLRGVKLSSKNWYLFAEFNNASGLSKKSPVTYRGILVGSIEDILFTNESIKAKIVLNNPEIILPKPAFARVVTNSFLGGDVQVALETSEKTIPKNTPKAISDKCDSKLIICQGDTITGKQLSSLSNITNRINQLLKESNQENLIENVVNSIDQFDKTQENLDELIYLSKQEIIRVKPLIKEVTIAAGHLNNILSTINDEETLKDIKLTIEAAESISGKFDNMSDDFEQLMKDKELTKSIRDLTIGLSKFLNEIYP
+MASSETYEFLFVKPGDHVVIKNEKPPGNTQNGRQEYWIGQIISCIGGARNPNSWTLFQVADIDNGEIIIINADTVERILKTAEN,MASSETYEFLFVKPGDHVVIKNEKPPGNTQNGRQEYWIGQIISCIGGARNPNSWTLFQVADIDNGEIIIINADTVERILKTAEN
+LSVDRELLKEVTQELWNTVKKLRPEIDRETRLQLVLKALLTIGDLPDQLQAAMVVGVCAEMDKSDFENADGNSNTKEESNSTSVDTSTGRKVFRRSSAK,LSVDRELLKEVTQELWNTVKKLRPEIDRETRLQLVLKALLTIGDLPDQLQAAMVVGVCAEMDKSDFENADGNSNTKEESNSTSVDTSTGRKVFRRSSAK
+LQIGDKVPQFSLLDQNGTKRSNNGLKTPLVLFFYPKDDTPGCTIEVCGFRDKYDLFKVLGAQVWGVSNGSSSSHLAFANKNKLQYPLLCDKNDSLRKAFKVPKVLGLLDGRVTYVIDRNGFVKHIFRDLLNGPEHIKEAIRVLKEIQNQ,LQIGDKVPQFSLLDQNGTKRSNNGLKTPLVLFFYPKDDTPGCTIEVCGFRDKYDLFKVLGAQVWGVSNGSSSSHLAFANKNKLQYPLLCDKNDSLRKAFKVPKVLGLLDGRVTYVIDRNGFVKHIFRDLLNGPEHIKEAIRVLKEIQNQ
+MFSINKSNFMKKIGMQAVDEAIENGIDLDGTPIPSKMLELYNRIMSEENKRERSGVKKSMRNRCVKTGSKHFDKETLDQLLIDSGWEGLKEKEILFFYS,MFSINKSNFMKKIGMQAVDEAIENGIDLDGTPIPSKMLELYNRIMSEENKRERSGVKKSMRNRCVKTGSKHFDKETLDQLLIDSGWEGLKEKEILFFYS
+VNSNSSNQVGKNIRRTGFLIVLSYLLIVLIMKVLEANNFFGYSLSSFSNDIFAPPSLKHLCGTDRLGRDVCLRTLQGSSIAIEVVFLAIFFALILGLPLGLLSGYFGGILDKCLSLVMDTIFSIPVILLAVVVAFVLGKGIINASIALCIVYSPQYFRLIRNQTMLIKSETYVEAARVSGADVKTIIFKYILPNVITPLPILLTLNAADAVLVLGSLGFLGLGVPANVPEWGSDLNLALAAIPTGIWWTALFPGLAMFFLVLGLSFIGEELENIFEN,LEGINLNQIGVSFKGSGSYVPNQILTNQEISKKVETSDEWIKSRTGISQRRISGLSENVSEMGYKAALGAIEMARWDIETIDLIILATSTPNDLFGSAPEIQSKLGAINAVAFDLTAACSGFLFAAITATQFLKAGSYKRAVVIGSDQLSSYVDWNDRRSCILFGDGAGAIAIEGTNELDNLLGFSMRTDGQRGSFLNLPSQNNQDLIINDINFSSGGFSSIKMNGQEVYKFAVREVPLIIDNLFKKTNFNSEKINWLLLHQANQRILDSVGERLNVSTEKILSNLSNYGNTSAATIPLMLDEAIRNKKIKENDIIATSGFGAGLSWGAALIRWG
+MSNTESLTGKVALITGASRGIGKEIALELSNLGAKVIINYSSSDEKAEEVVNLIKESGGKVHKLKFDVSKEESVSKAFEEIIKINGAIDILVNNAGITRDGLLMRMKSEQWDDVLNTNLKGVFLCTKYASKFMIKKRSGKIINISSIVGIIGNPGQANYSAAKAGVIGFTKTCAKEFASRGINVNAIAPGFIETEMTEKLNNEEIIKAIPLGKLGSCSQIANLVSFLVSSNAGSYITGQTISIDGGMSI,MSNTESLTGKVALITGASRGIGKEIALELSNLGAKVIINYSSSDEKAEEVVNLIKESGGKVHKLKFDVSKEESVSKAFEEIIKINGAIDILVNNAGITRDGLLMRMKSEQWDDVLNTNLKGVFLCTKYASKFMIKKRSGKIINISSIVGIIGNPGQANYSAAKAGVIGFTKTCAKEFASRGINVNAIAPGFIETEMTEKLNNEEIIKAIPLGKLGSCSQIANLVSFLVSSNAGSYITGQTISIDGGMSI
+MHKVLAIETSCDETSVSIVSNSGDIYKIHSNIVASQIEDHSKWGGVVPELAARKHLELLPFVLEQALEESKIRIEKIDVIASTVTPGLVGCLRVGSITARSLCTLYSKPFLGIHHLEGHLSSILFSKNYPKPPFLTLLVSGGHTELIKVGERRKMQRLGRSYDDAAGEAFDKVGRLLGLSYPGGPAIAKIAKKGNASKFNLPKCKISDKEGGFLKYDFSFSGLKTAVLRLVEKINLNGDEIPIPDIAASFERVVAEVLVERTIKCANDYGLDNIVVVGGVAANDTLRKMMISEACKKSIKVHLAPINLCTDNAAMIGAAALYRLKFKAYESSLKLGISGRLPIDQANTLYENKPPF,LVKPKSPDNKISNHLQQDVVKIAGKTIFINPFLYWRRFDENTNRWLREPGQMSEEQIQPNRNRFYPEIDWADLSQNQKLVKDASVEMFLKTLELISTFHPQLNSGQLLEVERKMAITKKLPFEKWVTKSFAKKARAEEYEKRKFKRDRFIRSWKEWLSLENTQQALLPIIVVVFVSAFIGWSSGVSKNSCNPYFEQNLDQSI
+MHKVLAIETSCDETSVSIVSNSGDIYKIHSNIVASQIEDHSKWGGVVPELAARKHLELLPFVLEQALEESKIRIEKIDVIASTVTPGLVGCLRVGSITARSLCTLYSKPFLGIHHLEGHLSSILFSKNYPKPPFLTLLVSGGHTELIKVGERRKMQRLGRSYDDAAGEAFDKVGRLLGLSYPGGPAIAKIAKKGNASKFNLPKCKISDKEGGFLKYDFSFSGLKTAVLRLVEKINLNGDEIPIPDIAASFERVVAEVLVERTIKCANDYGLDNIVVVGGVAANDTLRKMMISEACKKSIKVHLAPINLCTDNAAMIGAAALYRLKFKAYESSLKLGISGRLPIDQANTLYENKPPF,VNSNSSNQVGKNIRRTGFLIVLSYLLIVLIMKVLEANNFFGYSLSSFSNDIFAPPSLKHLCGTDRLGRDVCLRTLQGSSIAIEVVFLAIFFALILGLPLGLLSGYFGGILDKCLSLVMDTIFSIPVILLAVVVAFVLGKGIINASIALCIVYSPQYFRLIRNQTMLIKSETYVEAARVSGADVKTIIFKYILPNVITPLPILLTLNAADAVLVLGSLGFLGLGVPANVPEWGSDLNLALAAIPTGIWWTALFPGLAMFFLVLGLSFIGEELENIFEN
+MHKVLAIETSCDETSVSIVSNSGDIYKIHSNIVASQIEDHSKWGGVVPELAARKHLELLPFVLEQALEESKIRIEKIDVIASTVTPGLVGCLRVGSITARSLCTLYSKPFLGIHHLEGHLSSILFSKNYPKPPFLTLLVSGGHTELIKVGERRKMQRLGRSYDDAAGEAFDKVGRLLGLSYPGGPAIAKIAKKGNASKFNLPKCKISDKEGGFLKYDFSFSGLKTAVLRLVEKINLNGDEIPIPDIAASFERVVAEVLVERTIKCANDYGLDNIVVVGGVAANDTLRKMMISEACKKSIKVHLAPINLCTDNAAMIGAAALYRLKFKAYESSLKLGISGRLPIDQANTLYENKPPF,MHKVLAIETSCDETSVSIVSNSGDIYKIHSNIVASQIEDHSKWGGVVPELAARKHLELLPFVLEQALEESKIRIEKIDVIASTVTPGLVGCLRVGSITARSLCTLYSKPFLGIHHLEGHLSSILFSKNYPKPPFLTLLVSGGHTELIKVGERRKMQRLGRSYDDAAGEAFDKVGRLLGLSYPGGPAIAKIAKKGNASKFNLPKCKISDKEGGFLKYDFSFSGLKTAVLRLVEKINLNGDEIPIPDIAASFERVVAEVLVERTIKCANDYGLDNIVVVGGVAANDTLRKMMISEACKKSIKVHLAPINLCTDNAAMIGAAALYRLKFKAYESSLKLGISGRLPIDQANTLYENKPPF
+MIKNPIQEVTNKLQYRAIGIVKGIYKPNNIDQLNRGTLTDKEGKIIETVILGKAIALIKKYINLEKDYFWIVYPRNKNINNLHLQVAGIWDPYQLNQFDKNNSEKDPNQLLEELNLNNNYFSIRGELVYVNIKKKEIVIKICSSPPSKRSKYLTFKIIIEGEIPLQFLNNFVSLDVIRDGNTLRMAKYEIIEKIKPEKV,MIKNPIQEVTNKLQYRAIGIVKGIYKPNNIDQLNRGTLTDKEGKIIETVILGKAIALIKKYINLEKDYFWIVYPRNKNINNLHLQVAGIWDPYQLNQFDKNNSEKDPNQLLEELNLNNNYFSIRGELVYVNIKKKEIVIKICSSPPSKRSKYLTFKIIIEGEIPLQFLNNFVSLDVIRDGNTLRMAKYEIIEKIKPEKV
+MTKFKLKIASRRSKLAMVQTLWVKEQLEKNIPDLEVSIEAMATQGDKILDVALAKIGDKGLFTKELEAQMLVGHADIAVHSLKDLPTNLPDGLTLGCITKREDPSDALVVNKKNKIYQLESLPPGSIVGTSSLRRLAQLRYKFPHLDFKDIRGNVITRIEKLDSGEFDCIILAAAGLKRLGFESRVHQIIPNEISLHAVGQGALGIECKSDDKEVLKIISVLEDKVSSQRCLAERSFLRELEGGCQVPIGVNSSIQNDEIALIGMVASIDGKRLIKNESIGNIKYPEEVGKKLAEKLKLQGADKILSEIFEQFRDK,VPNNQNRDNFIDKAFTVIAESIVKIMPIADKEKKAYIYYRDGLAAQNNGDYSEALDYYNESLLLEENKIDRGETLKNMAIIYMSNGEEDRSIETYQKALEENPKQPSCLKNIGLIYEKRGRFAEQNGDLDQRDMWFDKAAQVWSKAVRLYPGGYLDIENWLKTSGRSSIDIYL
+MTKFKLKIASRRSKLAMVQTLWVKEQLEKNIPDLEVSIEAMATQGDKILDVALAKIGDKGLFTKELEAQMLVGHADIAVHSLKDLPTNLPDGLTLGCITKREDPSDALVVNKKNKIYQLESLPPGSIVGTSSLRRLAQLRYKFPHLDFKDIRGNVITRIEKLDSGEFDCIILAAAGLKRLGFESRVHQIIPNEISLHAVGQGALGIECKSDDKEVLKIISVLEDKVSSQRCLAERSFLRELEGGCQVPIGVNSSIQNDEIALIGMVASIDGKRLIKNESIGNIKYPEEVGKKLAEKLKLQGADKILSEIFEQFRDK,VNSNSSNQVGKNIRRTGFLIVLSYLLIVLIMKVLEANNFFGYSLSSFSNDIFAPPSLKHLCGTDRLGRDVCLRTLQGSSIAIEVVFLAIFFALILGLPLGLLSGYFGGILDKCLSLVMDTIFSIPVILLAVVVAFVLGKGIINASIALCIVYSPQYFRLIRNQTMLIKSETYVEAARVSGADVKTIIFKYILPNVITPLPILLTLNAADAVLVLGSLGFLGLGVPANVPEWGSDLNLALAAIPTGIWWTALFPGLAMFFLVLGLSFIGEELENIFEN
+MTKFKLKIASRRSKLAMVQTLWVKEQLEKNIPDLEVSIEAMATQGDKILDVALAKIGDKGLFTKELEAQMLVGHADIAVHSLKDLPTNLPDGLTLGCITKREDPSDALVVNKKNKIYQLESLPPGSIVGTSSLRRLAQLRYKFPHLDFKDIRGNVITRIEKLDSGEFDCIILAAAGLKRLGFESRVHQIIPNEISLHAVGQGALGIECKSDDKEVLKIISVLEDKVSSQRCLAERSFLRELEGGCQVPIGVNSSIQNDEIALIGMVASIDGKRLIKNESIGNIKYPEEVGKKLAEKLKLQGADKILSEIFEQFRDK,MTKFKLKIASRRSKLAMVQTLWVKEQLEKNIPDLEVSIEAMATQGDKILDVALAKIGDKGLFTKELEAQMLVGHADIAVHSLKDLPTNLPDGLTLGCITKREDPSDALVVNKKNKIYQLESLPPGSIVGTSSLRRLAQLRYKFPHLDFKDIRGNVITRIEKLDSGEFDCIILAAAGLKRLGFESRVHQIIPNEISLHAVGQGALGIECKSDDKEVLKIISVLEDKVSSQRCLAERSFLRELEGGCQVPIGVNSSIQNDEIALIGMVASIDGKRLIKNESIGNIKYPEEVGKKLAEKLKLQGADKILSEIFEQFRDK
+MLVKKMTELFSRFFVKAISFAICISVFFTLFNSPSYAAKTSMTGDYAKDTISVVKTLQIAVETPKDSPDKDKVRDESLALITDYISRYRNRGMVNKTQSFTTMQTALNAMAGHYKNFATRPLPDKLKERLTKEFTLAEKMVLRES,MLVKKMTELFSRFFVKAISFAICISVFFTLFNSPSYAAKTSMTGDYAKDTISVVKTLQIAVETPKDSPDKDKVRDESLALITDYISRYRNRGMVNKTQSFTTMQTALNAMAGHYKNFATRPLPDKLKERLTKEFTLAEKMVLRES
+LKKITSILIIFFLIVLYPIRTYSAEILQINNSSSILVGDQNRDLPIKLFCVEINNEDDEKIALNLLKKEFPRGSKVKIKPIGFKENILTARVFNINETKEMSDLLISKNLSKETCQN,LKKITSILIIFFLIVLYPIRTYSAEILQINNSSSILVGDQNRDLPIKLFCVEINNEDDEKIALNLLKKEFPRGSKVKIKPIGFKENILTARVFNINETKEMSDLLISKNLSKETCQN
+MESIFNNSFATLVAYVGIVSIYLLVIPLILFYWMNNRWNVMGKFERLIVYGLVFLFFPGLILFSPFLNLRLRGDSKG,MESIFNNSFATLVAYVGIVSIYLLVIPLILFYWMNNRWNVMGKFERLIVYGLVFLFFPGLILFSPFLNLRLRGDSKG
+LTKGKVVQIGLLISLLGLLSYKLAPQLGIDNFTASTISNFVLIVIVISWVTSYVLRVLNGKMTFMEQRKRYRKEYEKIVNDKLETKFNLLPKEEQEKLMEDLEKNP,LTKGKVVQIGLLISLLGLLSYKLAPQLGIDNFTASTISNFVLIVIVISWVTSYVLRVLNGKMTFMEQRKRYRKEYEKIVNDKLETKFNLLPKEEQEKLMEDLEKNP
+MNDSYYKDKEKIYDAEVLESSSLDENIIIKILIRAGRTIAKPALEVLEMALDPFTPTQVRVSLMAALAYLIMPFDLFPDFMPLVGYSDDFVALTAVLSIWSRYMTPAIRARAERKLNKLFPFVK,MNDSYYKDKEKIYDAEVLESSSLDENIIIKILIRAGRTIAKPALEVLEMALDPFTPTQVRVSLMAALAYLIMPFDLFPDFMPLVGYSDDFVALTAVLSIWSRYMTPAIRARAERKLNKLFPFVK
+MLRSIFAGFFAIVLTLGLGISSVSAKTVEVKLGTDAGMLAFEPSSVTISTGDTVKFINNKLAPHNAVFDGHEELSHADLAFAPGESWEETFDTAGTFDYYCEPHRGAGMVGKVIVE,MKGHKKIRFIFPLVAMYVPLLLLAPKAIAGSFGAEIFCTMRDGGNDHESSWQAAYSYIKKQKGGIFKTSPKQAAGQIIETVVRERDKFSYCVEFLDQLHPDRKLQLENDRKEKRRKKEELLQDKENEDYSKETFDRYSY
+MLRSIFAGFFAIVLTLGLGISSVSAKTVEVKLGTDAGMLAFEPSSVTISTGDTVKFINNKLAPHNAVFDGHEELSHADLAFAPGESWEETFDTAGTFDYYCEPHRGAGMVGKVIVE,VQFIDQANIILKAGKGGNGIVSFRREKFVPAGGPSGGNGGKGGSIIIIADNNLQTLLDFKFNREIFAKDGFKGGPNKRSGASGENTILKVPCGTEIRDFNTGIILGDLTEDKQSLTIAHGGRGGHGNAYYLSNQNRAPESFTEGKEGEIWEVQLELKLLAEVGIIGLPNAGKSTLISVLSSARPKIANYPFTTLIPNLGVVRKADGNGCLFADIPGLISGAAEGVGLGHDFLRHIQRTKILIHLIDSIAENPIRDFEIIEKELKRYGSGLLNKERIVVLNKMELVDENYLQTITKKLENLSKKKVLVISSSLRKGLSPLLSEVWKRI
+MTNKKRILSGVQPTGDLHIGNWLGAINNWVELQEKHETFLCVVDLHAITTEYDTKQLSKNTLSTAALYIACGINPKICSIFVQSQISAHSELCWILNCMTPINWMERMIQFKEKSIQQGNNVSIGLFDYPILMAADILLYDADYVPVGEDQKQHLELAKDIAQQRINAKFGKEENILKIPQPIIMKKGSKIMSLNDGSKKMSKSDINEGSRINLLDTPEIITKKIKRAKSDSYMGMEFNNPERPESRNLLMIYSLLSGKEVSELENDLSQTGWGTFKKIFTEQIIESLKPIQERYQVLINDPHELNKILIQGKEKAEVVANKTLSRVKSELGFFEIEK,MTNKKRILSGVQPTGDLHIGNWLGAINNWVELQEKHETFLCVVDLHAITTEYDTKQLSKNTLSTAALYIACGINPKICSIFVQSQISAHSELCWILNCMTPINWMERMIQFKEKSIQQGNNVSIGLFDYPILMAADILLYDADYVPVGEDQKQHLELAKDIAQQRINAKFGKEENILKIPQPIIMKKGSKIMSLNDGSKKMSKSDINEGSRINLLDTPEIITKKIKRAKSDSYMGMEFNNPERPESRNLLMIYSLLSGKEVSELENDLSQTGWGTFKKIFTEQIIESLKPIQERYQVLINDPHELNKILIQGKEKAEVVANKTLSRVKSELGFFEIEK
+LGRSRKTNQLIREFLSELKEVLTKDGSITLRSLIFQENFHSLEGALKETEIKFIYPSDLKRFKDKSLNVLDICFGLGYNSASLFNNVIRQNSLINWYALEIDKKPLEYSLGNKSFQKLWHPKVFKILKALLKNSKYKDQFFDCDILWGDAREKIKNIPANIKFDLIYLDGFSPQKCPQVWSVEFLSKVTQKLNPQGYLITYSCSAAIRSTLKDFGLNIFNNKPNLVSKNLWSYGTIAVKNIDEKVLQNNLYLKKLSWMEEEHLLTKASIPYRDPTLNSNPKDIIKKRVQEQFLSNLKTSKKWRDKWGMTK,LGRSRKTNQLIREFLSELKEVLTKDGSITLRSLIFQENFHSLEGALKETEIKFIYPSDLKRFKDKSLNVLDICFGLGYNSASLFNNVIRQNSLINWYALEIDKKPLEYSLGNKSFQKLWHPKVFKILKALLKNSKYKDQFFDCDILWGDAREKIKNIPANIKFDLIYLDGFSPQKCPQVWSVEFLSKVTQKLNPQGYLITYSCSAAIRSTLKDFGLNIFNNKPNLVSKNLWSYGTIAVKNIDEKVLQNNLYLKKLSWMEEEHLLTKASIPYRDPTLNSNPKDIIKKRVQEQFLSNLKTSKKWRDKWGMTK
+LKNGADSIQVFSDLELLKKTAKKWDGNKRLMLAERGGKTIDGFDLGNSPLSVTKETVQGKRLFMSTTNGTKSLKKVQNVENLFAMSLPNRKAVAERIISLNKKNVLILGSGWEGSYSLEDSLAAGALAIYIKENFNSEVNILNDELQASLALWNVWKNDILKCLKTATHGKRLTSLGDYEDDFKCCSELDCLDIVPTQVERGVIRAS,LKNGADSIQVFSDLELLKKTAKKWDGNKRLMLAERGGKTIDGFDLGNSPLSVTKETVQGKRLFMSTTNGTKSLKKVQNVENLFAMSLPNRKAVAERIISLNKKNVLILGSGWEGSYSLEDSLAAGALAIYIKENFNSEVNILNDELQASLALWNVWKNDILKCLKTATHGKRLTSLGDYEDDFKCCSELDCLDIVPTQVERGVIRAS
+LISEIKELCLKANAIILAHYYQAPEIQDIADFIGDSLDLSRKAANNDADTIVFCGVHFMAETAKILSPNKTVLLPDIDAGCSLADDCPAEEFQKFREENPDHYVVSYINCTAEVKAQSDLICTSSNAVSLVEKIPKDKKIIFAPDKNLGRWVQKNSGRKLKLWPGSCIVHETFSEEALLKLKYKHPDAKVIAHPECSQNLLVLSDFIGSTSKLLDFVSNDYSDTYMVLTEPGIIHQMKKKEPNKNFIEVPDIDGCKCNECPYMKLNTLEKILDCLKNNSPSIELDPEIIKKAYKPIKRMLDMSI,LISEIKELCLKANAIILAHYYQAPEIQDIADFIGDSLDLSRKAANNDADTIVFCGVHFMAETAKILSPNKTVLLPDIDAGCSLADDCPAEEFQKFREENPDHYVVSYINCTAEVKAQSDLICTSSNAVSLVEKIPKDKKIIFAPDKNLGRWVQKNSGRKLKLWPGSCIVHETFSEEALLKLKYKHPDAKVIAHPECSQNLLVLSDFIGSTSKLLDFVSNDYSDTYMVLTEPGIIHQMKKKEPNKNFIEVPDIDGCKCNECPYMKLNTLEKILDCLKNNSPSIELDPEIIKKAYKPIKRMLDMSI
+MNRKSNNSNPTGNLDYDKILEEEIINSYENKFEANSNINNKNKRFYRLKRTPLEVINRLFFFFFVGSFIFSFFLAYSENKVWFIIYLISAFSCIFYTPNRKALKELIAAWPNIEDLIKGRSLWRKDNK,MNRKSNNSNPTGNLDYDKILEEEIINSYENKFEANSNINNKNKRFYRLKRTPLEVINRLFFFFFVGSFIFSFFLAYSENKVWFIIYLISAFSCIFYTPNRKALKELIAAWPNIEDLIKGRSLWRKDNK
+MKLRLFEFYFIKDYLRPWFGLIYSLFFLFFLGAIGYRITEGWDWGDCLWMVLITITTIGFGEVQTLSPEGRIITVLIIVGGLIFIQFTFQKAVRLFESGYFQRVNELRFKRLLRKMENHVILCGYGRVGQEISNQIKTQNIPIIVVESDEDRKKIAEDNGLEVLCADATLDETLKLAGLDKCKSLVVTLPNDAANLYVVLSAKGIRSSIRVIARAGTEEAASKLRLAGASIVVSPYIAAGRAMASMALRPIAIDFLDLLAGSECEIEEFELSNDISLFETAEKITLLELGIGKKSGAKILAIKEDEKLITNPGGDFLLQPGQVLIAFGSKEQLTTLNRLLGNLVVSVELLK,VPNNQNRDNFIDKAFTVIAESIVKIMPIADKEKKAYIYYRDGLAAQNNGDYSEALDYYNESLLLEENKIDRGETLKNMAIIYMSNGEEDRSIETYQKALEENPKQPSCLKNIGLIYEKRGRFAEQNGDLDQRDMWFDKAAQVWSKAVRLYPGGYLDIENWLKTSGRSSIDIYL
+MKLRLFEFYFIKDYLRPWFGLIYSLFFLFFLGAIGYRITEGWDWGDCLWMVLITITTIGFGEVQTLSPEGRIITVLIIVGGLIFIQFTFQKAVRLFESGYFQRVNELRFKRLLRKMENHVILCGYGRVGQEISNQIKTQNIPIIVVESDEDRKKIAEDNGLEVLCADATLDETLKLAGLDKCKSLVVTLPNDAANLYVVLSAKGIRSSIRVIARAGTEEAASKLRLAGASIVVSPYIAAGRAMASMALRPIAIDFLDLLAGSECEIEEFELSNDISLFETAEKITLLELGIGKKSGAKILAIKEDEKLITNPGGDFLLQPGQVLIAFGSKEQLTTLNRLLGNLVVSVELLK,VSGWLFIIFLLLLGGLISTLGDLLGSKIGKARFSILKLRPKKTAILITILTGSLISASSLFLMILVNRQLRVGLFRLGDLQKKLQESKQVLIPLEKEREKLENKIKAKETEFKQLERNIIALRSGKFVIRSGQSLIISEISSSNLKDIKSKIEKIIINANRYTHKIVKPKNKEVKNLLLLRKNHIEEMQNIILKGGNWVINIKSVRNVLTGENFVYAFPEITENKIIVRKGEKITKIDFKQEDFNKKDFGDKVNFLLSSSLAEIKRRGSLVNEIKLRGDSIKELRDFLNKNDKTNFELEAVSLFNSKTAQPVIVELNVNYPES
+MKLRLFEFYFIKDYLRPWFGLIYSLFFLFFLGAIGYRITEGWDWGDCLWMVLITITTIGFGEVQTLSPEGRIITVLIIVGGLIFIQFTFQKAVRLFESGYFQRVNELRFKRLLRKMENHVILCGYGRVGQEISNQIKTQNIPIIVVESDEDRKKIAEDNGLEVLCADATLDETLKLAGLDKCKSLVVTLPNDAANLYVVLSAKGIRSSIRVIARAGTEEAASKLRLAGASIVVSPYIAAGRAMASMALRPIAIDFLDLLAGSECEIEEFELSNDISLFETAEKITLLELGIGKKSGAKILAIKEDEKLITNPGGDFLLQPGQVLIAFGSKEQLTTLNRLLGNLVVSVELLK,LGRSRKTNQLIREFLSELKEVLTKDGSITLRSLIFQENFHSLEGALKETEIKFIYPSDLKRFKDKSLNVLDICFGLGYNSASLFNNVIRQNSLINWYALEIDKKPLEYSLGNKSFQKLWHPKVFKILKALLKNSKYKDQFFDCDILWGDAREKIKNIPANIKFDLIYLDGFSPQKCPQVWSVEFLSKVTQKLNPQGYLITYSCSAAIRSTLKDFGLNIFNNKPNLVSKNLWSYGTIAVKNIDEKVLQNNLYLKKLSWMEEEHLLTKASIPYRDPTLNSNPKDIIKKRVQEQFLSNLKTSKKWRDKWGMTK
+MSIAKKALLFTSALALIAGPSVTASTRLSGAGASFPAKIYTRWFSDLAKSGGPRVNYQAVGSGSGRKAFIDQTVNFGASDDPMKDKDIAKVTRGLVQIPMVGGTIAFGYNYDCDLKLTQEQAVQVAMGMVKNWKELGCKAGKLTWAHRSDGSGTTKAFTNSMEAFSPTWTLGTGKSVKWPAGVGAKGNSGVAGVIQNTPGAIGYVNQSYIKGNVKAAALQNLSGEFLKPSVEAGAKALNGITLDENLAGKNPNPTAKGAYPIASLTWILAYEKGNGRNTKAIKKSLSTLLSDEYQDKAPTLGFVPLKGDILEKSRAAVKKIGR,MSIAKKALLFTSALALIAGPSVTASTRLSGAGASFPAKIYTRWFSDLAKSGGPRVNYQAVGSGSGRKAFIDQTVNFGASDDPMKDKDIAKVTRGLVQIPMVGGTIAFGYNYDCDLKLTQEQAVQVAMGMVKNWKELGCKAGKLTWAHRSDGSGTTKAFTNSMEAFSPTWTLGTGKSVKWPAGVGAKGNSGVAGVIQNTPGAIGYVNQSYIKGNVKAAALQNLSGEFLKPSVEAGAKALNGITLDENLAGKNPNPTAKGAYPIASLTWILAYEKGNGRNTKAIKKSLSTLLSDEYQDKAPTLGFVPLKGDILEKSRAAVKKIGR
+MKIGINGFGRIGRLVFRALWDRADTEITHINEMAGDSNAAAHLLEFDSVHGRWVKDIKVKEEEIIIDGKKLAYTSFKNYLDVPWEKSSVDIILECTGKNKKPDKLNPYFDSLGMKRVIVACPVKGIVAEAESLNIVYGINQNLYDPSKHKLVTAASCTTNCLAPIVKVINENFSIKHGAITTIHDVTNTQVPVDFYKSDLRRARGCMQSLIPTTTGSAKAIAEIFPELKGKLNGHAVRVPLLNGSLTDAVFELNNAVTEEQVNNEFKKASETYLEGILGYEERPLVSADYVNDSRSSIVDSLSTMVVNSNLLKIYAWYDNEWGYSCRLADLTEYVIKKEI,MKIGINGFGRIGRLVFRALWDRADTEITHINEMAGDSNAAAHLLEFDSVHGRWVKDIKVKEEEIIIDGKKLAYTSFKNYLDVPWEKSSVDIILECTGKNKKPDKLNPYFDSLGMKRVIVACPVKGIVAEAESLNIVYGINQNLYDPSKHKLVTAASCTTNCLAPIVKVINENFSIKHGAITTIHDVTNTQVPVDFYKSDLRRARGCMQSLIPTTTGSAKAIAEIFPELKGKLNGHAVRVPLLNGSLTDAVFELNNAVTEEQVNNEFKKASETYLEGILGYEERPLVSADYVNDSRSSIVDSLSTMVVNSNLLKIYAWYDNEWGYSCRLADLTEYVIKKEI
+MKNSIKITQLFLLLIFLTSCKATANKQELIIDSEEQESQQTKLSKSKMEVRYSCGEDGISDFLNDGWIISKQYTEEKICTWKSFPATKDCDMEKDKGCKITTPDKIGEEKVYLLEK,MKNSIKITQLFLLLIFLTSCKATANKQELIIDSEEQESQQTKLSKSKMEVRYSCGEDGISDFLNDGWIISKQYTEEKICTWKSFPATKDCDMEKDKGCKITTPDKIGEEKVYLLEK
+MNFEIKNVFLTIEGKSIVNDVSIKVCPGEIVGLMGPNGAGKTSTFNLAVGNLRPDKGDILINSKSIKNLPLPIRAKLGLGYLTQEASIFRDLTVKENIDLALENSFSSRAIVRNKREKIINEFNLNKVVDNYGYQLSGGERRRCEIARALSVGRQGPKYLLLDEPFAGIDPLAVNDLKKLIIKLRDNGMGILITDHNVRETLLITSKSYVLSEGKILAHGSSDELANNQIVKKFYLGVDFQL,MAAKEHKSLQGSKILLIEDDKSIRLTVTESLISEGFEVSNFKDGSSALDFILGEGIKDFDLILLDLMLPGLNGLELCRKIRNEELYTPILILSAKGNESDRVLGLEVGADDYLTKPFGISELIARCRALLRRSKRGKEKKQKIETIIEYKNIKMFTEECRVTNFNQEIILSPKEFKLLELFIKNPKRVWSRDLILEKIWAIDFIGDTKTVDVHVRWLREKLEENPSAPKIIKTVRGFGYRFG
+MNFEIKNVFLTIEGKSIVNDVSIKVCPGEIVGLMGPNGAGKTSTFNLAVGNLRPDKGDILINSKSIKNLPLPIRAKLGLGYLTQEASIFRDLTVKENIDLALENSFSSRAIVRNKREKIINEFNLNKVVDNYGYQLSGGERRRCEIARALSVGRQGPKYLLLDEPFAGIDPLAVNDLKKLIIKLRDNGMGILITDHNVRETLLITSKSYVLSEGKILAHGSSDELANNQIVKKFYLGVDFQL,MNFEIKNVFLTIEGKSIVNDVSIKVCPGEIVGLMGPNGAGKTSTFNLAVGNLRPDKGDILINSKSIKNLPLPIRAKLGLGYLTQEASIFRDLTVKENIDLALENSFSSRAIVRNKREKIINEFNLNKVVDNYGYQLSGGERRRCEIARALSVGRQGPKYLLLDEPFAGIDPLAVNDLKKLIIKLRDNGMGILITDHNVRETLLITSKSYVLSEGKILAHGSSDELANNQIVKKFYLGVDFQL
+MLLSKLVDLIKSGESKFIKANIFENIDIENAASIDIALKNQISFLEENNILKDNLGKTSASAIITSNNNEILGLLESLNISNIVVENPRIAFAEVLNFLYEEINFNPGIDDSAVIKSSAKVGKNCYVGPNVYIGENSIIGDNNKIFPGTTILGNVRLGNNNVIHPNCVIYENTSIENNCVINSNTVIGSEGFGFIPQDGKWIKMPQKGCVIIKSFVEIGTNCCIDRPSVGNTFIDEGTKMDNLVQIGHGVKIGKNCAFAAQVGIAGGAVIGNSVILAGQVGVNNRVKVGNNVIASSKCGIHCDIEDGEVVSGFPAMKNKSWLRSSSVFKKLPELAKKLRQLDKK,MLLSKLVDLIKSGESKFIKANIFENIDIENAASIDIALKNQISFLEENNILKDNLGKTSASAIITSNNNEILGLLESLNISNIVVENPRIAFAEVLNFLYEEINFNPGIDDSAVIKSSAKVGKNCYVGPNVYIGENSIIGDNNKIFPGTTILGNVRLGNNNVIHPNCVIYENTSIENNCVINSNTVIGSEGFGFIPQDGKWIKMPQKGCVIIKSFVEIGTNCCIDRPSVGNTFIDEGTKMDNLVQIGHGVKIGKNCAFAAQVGIAGGAVIGNSVILAGQVGVNNRVKVGNNVIASSKCGIHCDIEDGEVVSGFPAMKNKSWLRSSSVFKKLPELAKKLRQLDKK
+MSSNFKNLYTSNNPPLEMILMRGSKLESIHKVHAVISDKKGRVLMCAGNPEYKSFIRSALKPFQAIPFVSSGASSKIKNSSKSIALSCGSHSGSKLHAREAFKILWEYNIDIHNLKCPIKKTSPLEHNCSGKHAAFLATCKKLNWPLETYLKGDHPLQVEIFRIISELLEIPLEQIYAERDDCGAPTLYMKILEMAKLYSLLSSSDNAELEQISRAMTINPTMISDHNRFDTEVIQASHGHVISKGGAEGIQCFCKVNEGMGLALKVEDGSKRAKQSVGLHILKQLEWISELRIQDIEDKIIKLPEGVQIEVKGQLKFQES,VPNNQNRDNFIDKAFTVIAESIVKIMPIADKEKKAYIYYRDGLAAQNNGDYSEALDYYNESLLLEENKIDRGETLKNMAIIYMSNGEEDRSIETYQKALEENPKQPSCLKNIGLIYEKRGRFAEQNGDLDQRDMWFDKAAQVWSKAVRLYPGGYLDIENWLKTSGRSSIDIYL
+VRIIFWGTPEYSVKSLEVLKKSDHDIVAVITQPDKKRSRGNKLISSPVKEYATKENIPVFTPETIKENIQFISILNDLSCDLFIVIAYGKILPKAILDIPKYKSWNAHASLLPRWRGAAPIQWSILEGDKITGVGIMRMEEGLDTGDVLVEKQIKIENNDNLKTLTKKLSDLSSELFLRAISDIEQNKNRDINLLLKKQTDFKRELKYARMINKLDYIINWENSATDIYRKINALYPRANTTYKRKNLKIIKIKILTTHEIHNKNYKILSNVFKPGLIIGLIKNVGIIITTKTDPILLLEAKLEGKKVSSQNQLIQQLNPVIGENFSD,VRIIFWGTPEYSVKSLEVLKKSDHDIVAVITQPDKKRSRGNKLISSPVKEYATKENIPVFTPETIKENIQFISILNDLSCDLFIVIAYGKILPKAILDIPKYKSWNAHASLLPRWRGAAPIQWSILEGDKITGVGIMRMEEGLDTGDVLVEKQIKIENNDNLKTLTKKLSDLSSELFLRAISDIEQNKNRDINLLLKKQTDFKRELKYARMINKLDYIINWENSATDIYRKINALYPRANTTYKRKNLKIIKIKILTTHEIHNKNYKILSNVFKPGLIIGLIKNVGIIITTKTDPILLLEAKLEGKKVSSQNQLIQQLNPVIGENFSD
+MRNEKYWVKALDQTHLSITNNGLFPLKTTVVTREYYNKNDFIIRELDTSRFTKKNNYGPNQNPFNPWDKILEVDKVGTNHQLILNKYPVQKGHILLITNTWRPQDGWLDINDWIAIQMVNEDTSGLWFFNSSPIAGASQPHRHFQLLRRDHGEIICPREKWFLDFENNNDQDSKLKKNTVVSKFNFLNNSINIYNLYLELSNKIGLGNPIDDEKPRFPYNILITNNWIAIIKRKYDHVHGFSVNGLGFAGYLLVTEKSNINYLKKYGPEKLLENFV,MRNEKYWVKALDQTHLSITNNGLFPLKTTVVTREYYNKNDFIIRELDTSRFTKKNNYGPNQNPFNPWDKILEVDKVGTNHQLILNKYPVQKGHILLITNTWRPQDGWLDINDWIAIQMVNEDTSGLWFFNSSPIAGASQPHRHFQLLRRDHGEIICPREKWFLDFENNNDQDSKLKKNTVVSKFNFLNNSINIYNLYLELSNKIGLGNPIDDEKPRFPYNILITNNWIAIIKRKYDHVHGFSVNGLGFAGYLLVTEKSNINYLKKYGPEKLLENFV
+MTTSSKKDYLSILGLSSKFDDIELKKAFRREARKWHPDLNKNDINAEDRFKLINEAYEFLRDPVRRVKSIDSNSSNEEIYNKYSTGFPEFKDYLNSLFGFEYESELDNESYDQTSDFYEDEKPNAIFNEEEFNSYDYPARSPEEPPPVKLHQDIETIIELTPDEALSGASILIELEDQTVVEVDTPPFAGDGWRLRLENIAKGGKDHYLQLKVQTENGLRIDGLRVLYKLELFPPDALLGCAVEVPTLDGNVTLQVPPKSSTGRLLRLKGRGLSFGDNIGDQFVEILVVIPADINDEEIALYTRLQELSLSDE,MTTSSKKDYLSILGLSSKFDDIELKKAFRREARKWHPDLNKNDINAEDRFKLINEAYEFLRDPVRRVKSIDSNSSNEEIYNKYSTGFPEFKDYLNSLFGFEYESELDNESYDQTSDFYEDEKPNAIFNEEEFNSYDYPARSPEEPPPVKLHQDIETIIELTPDEALSGASILIELEDQTVVEVDTPPFAGDGWRLRLENIAKGGKDHYLQLKVQTENGLRIDGLRVLYKLELFPPDALLGCAVEVPTLDGNVTLQVPPKSSTGRLLRLKGRGLSFGDNIGDQFVEILVVIPADINDEEIALYTRLQELSLSDE
+LKKTFKVTITNKETGKIYQENISDQEYILKEFEKKGLRLPFSCRNGCCTSCAVKIISGKLDQPEAMGVSQDLKDKGYALLCVAKVIEDIEVETTYYDEVYDLQFGQYFGKGKTRKAPPWEFEED,MKGHKKIRFIFPLVAMYVPLLLLAPKAIAGSFGAEIFCTMRDGGNDHESSWQAAYSYIKKQKGGIFKTSPKQAAGQIIETVVRERDKFSYCVEFLDQLHPDRKLQLENDRKEKRRKKEELLQDKENEDYSKETFDRYSY
+MDFKTYQKQARLTAQYPNLGSNNIYPTLGLVGEAGEVAEKVKKVIRDKKGIFDEESKKGIKKELGDVLWYISNLCNEFNFELEEVALQNLEKLKLRAAKGKISGSGDDR,MDFKTYQKQARLTAQYPNLGSNNIYPTLGLVGEAGEVAEKVKKVIRDKKGIFDEESKKGIKKELGDVLWYISNLCNEFNFELEEVALQNLEKLKLRAAKGKISGSGDDR
+MSFFQGKILLNFIIDLLNKPAINWSNFELNSSLQLNDFVDLLLEPLNTSQYSYNIKLGLHEALINAVTHGNKLDPNKSIRVRRIITPNWCVWQIQDQGNGLEIKKRLYKLPKKFTSFNGRGLYIINECFDDIRWSNKGNRLQLALKR,VPNNQNRDNFIDKAFTVIAESIVKIMPIADKEKKAYIYYRDGLAAQNNGDYSEALDYYNESLLLEENKIDRGETLKNMAIIYMSNGEEDRSIETYQKALEENPKQPSCLKNIGLIYEKRGRFAEQNGDLDQRDMWFDKAAQVWSKAVRLYPGGYLDIENWLKTSGRSSIDIYL
+MSFFQGKILLNFIIDLLNKPAINWSNFELNSSLQLNDFVDLLLEPLNTSQYSYNIKLGLHEALINAVTHGNKLDPNKSIRVRRIITPNWCVWQIQDQGNGLEIKKRLYKLPKKFTSFNGRGLYIINECFDDIRWSNKGNRLQLALKR,MSFFQGKILLNFIIDLLNKPAINWSNFELNSSLQLNDFVDLLLEPLNTSQYSYNIKLGLHEALINAVTHGNKLDPNKSIRVRRIITPNWCVWQIQDQGNGLEIKKRLYKLPKKFTSFNGRGLYIINECFDDIRWSNKGNRLQLALKR
+VASTLLFTALKEAIDEEMANDVNVCIMGEDVGQYGGSYKVTKDLYEKYGELRVLDTPIAENSFTGMAVGAAMTGLRPIVEGMNMGFLLLAFNQISNNMGMLRYTSGGNYKIPAVVRGPGGVGRQLGAEHSQRLEAYFHAVPGIKIVACSTPTNAKGLMKAAIRDNNPVLFFEHVLLYNLSEELPEGDYICSLDQADLVKEGKDITILTYSRMRHHCLKAVEELDKKNIDVELIDLISLKPFDMKTISKSIKKTNNVIIVEECMKTGGIGAELIALITEECFDDLDTRPIRLSSQDIPTPYNGNLENLTIIQPHQIVEKVEEVINGSI,VASTLLFTALKEAIDEEMANDVNVCIMGEDVGQYGGSYKVTKDLYEKYGELRVLDTPIAENSFTGMAVGAAMTGLRPIVEGMNMGFLLLAFNQISNNMGMLRYTSGGNYKIPAVVRGPGGVGRQLGAEHSQRLEAYFHAVPGIKIVACSTPTNAKGLMKAAIRDNNPVLFFEHVLLYNLSEELPEGDYICSLDQADLVKEGKDITILTYSRMRHHCLKAVEELDKKNIDVELIDLISLKPFDMKTISKSIKKTNNVIIVEECMKTGGIGAELIALITEECFDDLDTRPIRLSSQDIPTPYNGNLENLTIIQPHQIVEKVEEVINGSI
+MSKLSTTKICVKSPAKINLHLEIIGKRKDGYHELAMIMQNIDLSDYIEFENNQIGEIKLKSNSKDLSLDEDNLIIKAANYIKDMSKNKELGANIFLKKNIPIGAGLAGGSSNAAATLVGLNKLWDLDLDYETIFILSAKLGSDVPFFIEGGCQFCFGRGEILEKYSSNFDFGVILLKNPNISISTVDTYKKYSQEFCPKYFTETEKTNKIRNDLRVNGFNDFKLSEQRINVKNDLQVIVERENNSVKKALYLLSNLQNCLSYSMSGSGPTCFALFKDINIANEVFEQNYKMFNNNGFEAWVCKLINSGITLL,LVKPKSPDNKISNHLQQDVVKIAGKTIFINPFLYWRRFDENTNRWLREPGQMSEEQIQPNRNRFYPEIDWADLSQNQKLVKDASVEMFLKTLELISTFHPQLNSGQLLEVERKMAITKKLPFEKWVTKSFAKKARAEEYEKRKFKRDRFIRSWKEWLSLENTQQALLPIIVVVFVSAFIGWSSGVSKNSCNPYFEQNLDQSI
+MSKLSTTKICVKSPAKINLHLEIIGKRKDGYHELAMIMQNIDLSDYIEFENNQIGEIKLKSNSKDLSLDEDNLIIKAANYIKDMSKNKELGANIFLKKNIPIGAGLAGGSSNAAATLVGLNKLWDLDLDYETIFILSAKLGSDVPFFIEGGCQFCFGRGEILEKYSSNFDFGVILLKNPNISISTVDTYKKYSQEFCPKYFTETEKTNKIRNDLRVNGFNDFKLSEQRINVKNDLQVIVERENNSVKKALYLLSNLQNCLSYSMSGSGPTCFALFKDINIANEVFEQNYKMFNNNGFEAWVCKLINSGITLL,VPNNQNRDNFIDKAFTVIAESIVKIMPIADKEKKAYIYYRDGLAAQNNGDYSEALDYYNESLLLEENKIDRGETLKNMAIIYMSNGEEDRSIETYQKALEENPKQPSCLKNIGLIYEKRGRFAEQNGDLDQRDMWFDKAAQVWSKAVRLYPGGYLDIENWLKTSGRSSIDIYL
+MKNLKLKVIFKYLKPYKKEFLYGGIALLVVNILSILIPLEVKNIIDQLKDGFSSSFVISKSLFLMFLATCMGLIRLFSRQIVFGIGRKVEVNLRQKLFDHLLIQDPDWIQKKGSGDIISRATSDVENIRRLLGFTVLSLCNIVLAYSLTIPSMLSINKTLTVAALMIFPMILVIVSLFGGRMVSQRKIQQESLSKLSDLIQEDLSGISAIKIYAQEEAEKKQFNNYNKVYRNSAIKLARTASTLFPLLQGISSISLLILLGLGTSQLENGFITIGGLVALILFVERLVFPTALLGFTLNTFQLGQVSLDRVEEIFQNNPKITDKPKAKFIKKKVKGTIEAKNLKIKYEGAKFNSLNRLNFKINPGELIAIVGPVGCGKTTLAKSLGRTIEIPDGQLFLDDIDITNIKLRDLRKHIAIVPQEAFLFTSTISENLKFGDPKASRNVVKNSAVNAGLIDDINSFPDGFKTIVGERGITLSGGQRQRTALGRALLVDASVVVLDDALASVDNKTAAKIIEEMRANKSKTILMISHQLSVAATCDRVLVMDQGKIVQEGIHKDLITTNGLYKNLWEREIATNKIVS,MKNLKLKVIFKYLKPYKKEFLYGGIALLVVNILSILIPLEVKNIIDQLKDGFSSSFVISKSLFLMFLATCMGLIRLFSRQIVFGIGRKVEVNLRQKLFDHLLIQDPDWIQKKGSGDIISRATSDVENIRRLLGFTVLSLCNIVLAYSLTIPSMLSINKTLTVAALMIFPMILVIVSLFGGRMVSQRKIQQESLSKLSDLIQEDLSGISAIKIYAQEEAEKKQFNNYNKVYRNSAIKLARTASTLFPLLQGISSISLLILLGLGTSQLENGFITIGGLVALILFVERLVFPTALLGFTLNTFQLGQVSLDRVEEIFQNNPKITDKPKAKFIKKKVKGTIEAKNLKIKYEGAKFNSLNRLNFKINPGELIAIVGPVGCGKTTLAKSLGRTIEIPDGQLFLDDIDITNIKLRDLRKHIAIVPQEAFLFTSTISENLKFGDPKASRNVVKNSAVNAGLIDDINSFPDGFKTIVGERGITLSGGQRQRTALGRALLVDASVVVLDDALASVDNKTAAKIIEEMRANKSKTILMISHQLSVAATCDRVLVMDQGKIVQEGIHKDLITTNGLYKNLWEREIATNKIVS
+MAKSSWEGNCFLNFFNNKSSSGKDDKTIFKSKFTSPYKLLKCSYDQEGRCILPILHTAGGLVGGDLLEFEANIGINSKVLLTTSSAQKVYGSVGRSKINPEGTFSSQKTKISILDNSHLEYLPQETIVFANGLYSQEFNIKISDNSSFLFTDLIRLGRSSAGESIESGVFRSKLEIMRNGNLCDDWEFVDQIELTKFSFEAKSGMDFKPVFGSLIWICEKEFPITKISYLKEKIKIIFKENNNYLSLGTLENGLSIRFLGTSSQDARKCFFSIWTQIRTVCGFCKPEYQGVWPLQDL,MAKSSWEGNCFLNFFNNKSSSGKDDKTIFKSKFTSPYKLLKCSYDQEGRCILPILHTAGGLVGGDLLEFEANIGINSKVLLTTSSAQKVYGSVGRSKINPEGTFSSQKTKISILDNSHLEYLPQETIVFANGLYSQEFNIKISDNSSFLFTDLIRLGRSSAGESIESGVFRSKLEIMRNGNLCDDWEFVDQIELTKFSFEAKSGMDFKPVFGSLIWICEKEFPITKISYLKEKIKIIFKENNNYLSLGTLENGLSIRFLGTSSQDARKCFFSIWTQIRTVCGFCKPEYQGVWPLQDL
+MSSKLRVGVAGPVGSGKTALVETLCIALKKRYKIAVVTNDIYTKEDANFLIKKKILEEGRIVGVETGGCPHTAIREDCSLNKNAVMDLENKYDPLDFIFVESGGDNLAASFSPELVDLSIYVIDVSAGDKIPRKGGPGITRSDLLLINKIDLADMVGANLNIMQNDTNMMRDGKPWFFTNLSSGSGVDNVIKYLVAQIPNI,VNSNSSNQVGKNIRRTGFLIVLSYLLIVLIMKVLEANNFFGYSLSSFSNDIFAPPSLKHLCGTDRLGRDVCLRTLQGSSIAIEVVFLAIFFALILGLPLGLLSGYFGGILDKCLSLVMDTIFSIPVILLAVVVAFVLGKGIINASIALCIVYSPQYFRLIRNQTMLIKSETYVEAARVSGADVKTIIFKYILPNVITPLPILLTLNAADAVLVLGSLGFLGLGVPANVPEWGSDLNLALAAIPTGIWWTALFPGLAMFFLVLGLSFIGEELENIFEN
+MSSKLRVGVAGPVGSGKTALVETLCIALKKRYKIAVVTNDIYTKEDANFLIKKKILEEGRIVGVETGGCPHTAIREDCSLNKNAVMDLENKYDPLDFIFVESGGDNLAASFSPELVDLSIYVIDVSAGDKIPRKGGPGITRSDLLLINKIDLADMVGANLNIMQNDTNMMRDGKPWFFTNLSSGSGVDNVIKYLVAQIPNI,MTKFKLKIASRRSKLAMVQTLWVKEQLEKNIPDLEVSIEAMATQGDKILDVALAKIGDKGLFTKELEAQMLVGHADIAVHSLKDLPTNLPDGLTLGCITKREDPSDALVVNKKNKIYQLESLPPGSIVGTSSLRRLAQLRYKFPHLDFKDIRGNVITRIEKLDSGEFDCIILAAAGLKRLGFESRVHQIIPNEISLHAVGQGALGIECKSDDKEVLKIISVLEDKVSSQRCLAERSFLRELEGGCQVPIGVNSSIQNDEIALIGMVASIDGKRLIKNESIGNIKYPEEVGKKLAEKLKLQGADKILSEIFEQFRDK
+MSSKLRVGVAGPVGSGKTALVETLCIALKKRYKIAVVTNDIYTKEDANFLIKKKILEEGRIVGVETGGCPHTAIREDCSLNKNAVMDLENKYDPLDFIFVESGGDNLAASFSPELVDLSIYVIDVSAGDKIPRKGGPGITRSDLLLINKIDLADMVGANLNIMQNDTNMMRDGKPWFFTNLSSGSGVDNVIKYLVAQIPNI,LGRSRKTNQLIREFLSELKEVLTKDGSITLRSLIFQENFHSLEGALKETEIKFIYPSDLKRFKDKSLNVLDICFGLGYNSASLFNNVIRQNSLINWYALEIDKKPLEYSLGNKSFQKLWHPKVFKILKALLKNSKYKDQFFDCDILWGDAREKIKNIPANIKFDLIYLDGFSPQKCPQVWSVEFLSKVTQKLNPQGYLITYSCSAAIRSTLKDFGLNIFNNKPNLVSKNLWSYGTIAVKNIDEKVLQNNLYLKKLSWMEEEHLLTKASIPYRDPTLNSNPKDIIKKRVQEQFLSNLKTSKKWRDKWGMTK
+MSSKLRVGVAGPVGSGKTALVETLCIALKKRYKIAVVTNDIYTKEDANFLIKKKILEEGRIVGVETGGCPHTAIREDCSLNKNAVMDLENKYDPLDFIFVESGGDNLAASFSPELVDLSIYVIDVSAGDKIPRKGGPGITRSDLLLINKIDLADMVGANLNIMQNDTNMMRDGKPWFFTNLSSGSGVDNVIKYLVAQIPNI,MIDSFPLIKKEHIETLQINIGLKCNQACKHCHVNSSPLRSEKMSYEIISLIPKVIEKYKIKTLDITGGAPEMHPEFRNLITTLSDKNIDIIDRCNLTIFFEDGFEDLPQFLAKNNVIVTASLPCYEKDNVELQRGYGVFDKSINALKILNDLGYGKQKDGLQLNLVYNPVNPILPPSQVILKEDYKRILFEKYNISFNNLYTITNMPINRYADSLNSENKLDSYYKLLKENFNKNNLEKLMCKKTISVNWQGQIYDCDFNQQINLKGNKGPKTLSDLMSKSFKFDYGVAVKEHCFACTAGAGSSCGGTLT
+MSSKLRVGVAGPVGSGKTALVETLCIALKKRYKIAVVTNDIYTKEDANFLIKKKILEEGRIVGVETGGCPHTAIREDCSLNKNAVMDLENKYDPLDFIFVESGGDNLAASFSPELVDLSIYVIDVSAGDKIPRKGGPGITRSDLLLINKIDLADMVGANLNIMQNDTNMMRDGKPWFFTNLSSGSGVDNVIKYLVAQIPNI,MKLRLFEFYFIKDYLRPWFGLIYSLFFLFFLGAIGYRITEGWDWGDCLWMVLITITTIGFGEVQTLSPEGRIITVLIIVGGLIFIQFTFQKAVRLFESGYFQRVNELRFKRLLRKMENHVILCGYGRVGQEISNQIKTQNIPIIVVESDEDRKKIAEDNGLEVLCADATLDETLKLAGLDKCKSLVVTLPNDAANLYVVLSAKGIRSSIRVIARAGTEEAASKLRLAGASIVVSPYIAAGRAMASMALRPIAIDFLDLLAGSECEIEEFELSNDISLFETAEKITLLELGIGKKSGAKILAIKEDEKLITNPGGDFLLQPGQVLIAFGSKEQLTTLNRLLGNLVVSVELLK
+MSSKLRVGVAGPVGSGKTALVETLCIALKKRYKIAVVTNDIYTKEDANFLIKKKILEEGRIVGVETGGCPHTAIREDCSLNKNAVMDLENKYDPLDFIFVESGGDNLAASFSPELVDLSIYVIDVSAGDKIPRKGGPGITRSDLLLINKIDLADMVGANLNIMQNDTNMMRDGKPWFFTNLSSGSGVDNVIKYLVAQIPNI,MQKTKFSKINDQFNNLLFGFLSSSWKSKSINVISVLTGYFLFANFATKFISEGKNELIMVPIIILIIELIIRIRPPAGSSFFNLWSIIDKARIGATYAVILEAFKLGS
+MSSKLRVGVAGPVGSGKTALVETLCIALKKRYKIAVVTNDIYTKEDANFLIKKKILEEGRIVGVETGGCPHTAIREDCSLNKNAVMDLENKYDPLDFIFVESGGDNLAASFSPELVDLSIYVIDVSAGDKIPRKGGPGITRSDLLLINKIDLADMVGANLNIMQNDTNMMRDGKPWFFTNLSSGSGVDNVIKYLVAQIPNI,MSKLSTTKICVKSPAKINLHLEIIGKRKDGYHELAMIMQNIDLSDYIEFENNQIGEIKLKSNSKDLSLDEDNLIIKAANYIKDMSKNKELGANIFLKKNIPIGAGLAGGSSNAAATLVGLNKLWDLDLDYETIFILSAKLGSDVPFFIEGGCQFCFGRGEILEKYSSNFDFGVILLKNPNISISTVDTYKKYSQEFCPKYFTETEKTNKIRNDLRVNGFNDFKLSEQRINVKNDLQVIVERENNSVKKALYLLSNLQNCLSYSMSGSGPTCFALFKDINIANEVFEQNYKMFNNNGFEAWVCKLINSGITLL
+LSRLLISFIFFAIVFLSPLSTFASHTSDPTVSLLQSRISKNFSKKFCNAIQNGLSKDEAMTSAIVKTENIVSFSYNPQKKWIEKEDLANQISIKVINDCGWSFGLIGKEGIDYFNSYFLEIYDKTTPDKKLSS,LSRLLISFIFFAIVFLSPLSTFASHTSDPTVSLLQSRISKNFSKKFCNAIQNGLSKDEAMTSAIVKTENIVSFSYNPQKKWIEKEDLANQISIKVINDCGWSFGLIGKEGIDYFNSYFLEIYDKTTPDKKLSS
+MTFEAKYLGSNGWLIKFDKTNLIIDPWLTGDLIFPPGEWFFKGSLDNEILIEEDINIILLTQGLPDHCHVPSLKKFKKDIDIICSNSAKGILEKLGFTSIKVLKPKEKIMQKELEIEATAGAPVPQIENGYIVKDYKGKGFYIEPHGYLDENVNSQELDAVITPIINLELPLVGSFVKGADVLPKLIKTFNPKYILSSTAGGEAKYTGLLNKFISVQEYAEEVKCNLVNLKTMDSVKI,MTFEAKYLGSNGWLIKFDKTNLIIDPWLTGDLIFPPGEWFFKGSLDNEILIEEDINIILLTQGLPDHCHVPSLKKFKKDIDIICSNSAKGILEKLGFTSIKVLKPKEKIMQKELEIEATAGAPVPQIENGYIVKDYKGKGFYIEPHGYLDENVNSQELDAVITPIINLELPLVGSFVKGADVLPKLIKTFNPKYILSSTAGGEAKYTGLLNKFISVQEYAEEVKCNLVNLKTMDSVKI
+MPIVFAWSLCLSVVVVLLSTIPLTLGRIKAGYSVENMSAPRALFDKLPDFGKRAVWCHQNCWESISIHAPACILCLITLPDSNLSLIAAWMHPLLRFLYIGAYVLNIPIARGLIWASGIFTTLVLYKEGISQFM,MPIVFAWSLCLSVVVVLLSTIPLTLGRIKAGYSVENMSAPRALFDKLPDFGKRAVWCHQNCWESISIHAPACILCLITLPDSNLSLIAAWMHPLLRFLYIGAYVLNIPIARGLIWASGIFTTLVLYKEGISQFM
+MTDIEEIKKKIYQIAAITDRGQRLNKLIAPMYQEKLKEMGNLIDILESFNTEVSEEKLSGEWELIYSTVELFRSSPFFLAIEKALNDEFKSNLFFKLHQLQVGSFGLSTIGRIAQNIDFDKKEFLSTFDTTIFGLTIIPILGWFKLLPTFGGRVITLADDLILEDKVLKMNLKKTKVSKVDGLNKIPLFSTLLMERWYPVKEVWEKLPWNKESPSCEVSVIYLDEEVRVMKDIYGSTFVYIRPTISLLNSK,MTDIEEIKKKIYQIAAITDRGQRLNKLIAPMYQEKLKEMGNLIDILESFNTEVSEEKLSGEWELIYSTVELFRSSPFFLAIEKALNDEFKSNLFFKLHQLQVGSFGLSTIGRIAQNIDFDKKEFLSTFDTTIFGLTIIPILGWFKLLPTFGGRVITLADDLILEDKVLKMNLKKTKVSKVDGLNKIPLFSTLLMERWYPVKEVWEKLPWNKESPSCEVSVIYLDEEVRVMKDIYGSTFVYIRPTISLLNSK
+MLLSRVAESLYWINRYLERAENISRFVEVSEAMSLDCPPGSAEPWLPLIDASSDRETFDSRFPEKKQDDVINFLIRDRINPNSIISCIQLARENARQIRDVMTSEMWEQINILYWNLQEGESIWDLPRQEQLSEIRRGCQLFYGITDATLSKDLACQFSILGRLIERADKTSRILDVKYYLLLPSLDELGGVLDELQWIALLRSAGAYQMFRKAEQNSIQPNSVARFLLLDNNFPRSVRYCLDGISNTLKMIDTSPSSDNPSKLECMRGLLKAKWSYIRIEDIINDGLHEAIDSLQIDLNKLHNLIEDKYFINKEFDQ,LVKPKSPDNKISNHLQQDVVKIAGKTIFINPFLYWRRFDENTNRWLREPGQMSEEQIQPNRNRFYPEIDWADLSQNQKLVKDASVEMFLKTLELISTFHPQLNSGQLLEVERKMAITKKLPFEKWVTKSFAKKARAEEYEKRKFKRDRFIRSWKEWLSLENTQQALLPIIVVVFVSAFIGWSSGVSKNSCNPYFEQNLDQSI
+MLLSRVAESLYWINRYLERAENISRFVEVSEAMSLDCPPGSAEPWLPLIDASSDRETFDSRFPEKKQDDVINFLIRDRINPNSIISCIQLARENARQIRDVMTSEMWEQINILYWNLQEGESIWDLPRQEQLSEIRRGCQLFYGITDATLSKDLACQFSILGRLIERADKTSRILDVKYYLLLPSLDELGGVLDELQWIALLRSAGAYQMFRKAEQNSIQPNSVARFLLLDNNFPRSVRYCLDGISNTLKMIDTSPSSDNPSKLECMRGLLKAKWSYIRIEDIINDGLHEAIDSLQIDLNKLHNLIEDKYFINKEFDQ,MKLRLFEFYFIKDYLRPWFGLIYSLFFLFFLGAIGYRITEGWDWGDCLWMVLITITTIGFGEVQTLSPEGRIITVLIIVGGLIFIQFTFQKAVRLFESGYFQRVNELRFKRLLRKMENHVILCGYGRVGQEISNQIKTQNIPIIVVESDEDRKKIAEDNGLEVLCADATLDETLKLAGLDKCKSLVVTLPNDAANLYVVLSAKGIRSSIRVIARAGTEEAASKLRLAGASIVVSPYIAAGRAMASMALRPIAIDFLDLLAGSECEIEEFELSNDISLFETAEKITLLELGIGKKSGAKILAIKEDEKLITNPGGDFLLQPGQVLIAFGSKEQLTTLNRLLGNLVVSVELLK
+MLLSRVAESLYWINRYLERAENISRFVEVSEAMSLDCPPGSAEPWLPLIDASSDRETFDSRFPEKKQDDVINFLIRDRINPNSIISCIQLARENARQIRDVMTSEMWEQINILYWNLQEGESIWDLPRQEQLSEIRRGCQLFYGITDATLSKDLACQFSILGRLIERADKTSRILDVKYYLLLPSLDELGGVLDELQWIALLRSAGAYQMFRKAEQNSIQPNSVARFLLLDNNFPRSVRYCLDGISNTLKMIDTSPSSDNPSKLECMRGLLKAKWSYIRIEDIINDGLHEAIDSLQIDLNKLHNLIEDKYFINKEFDQ,MSKLSTTKICVKSPAKINLHLEIIGKRKDGYHELAMIMQNIDLSDYIEFENNQIGEIKLKSNSKDLSLDEDNLIIKAANYIKDMSKNKELGANIFLKKNIPIGAGLAGGSSNAAATLVGLNKLWDLDLDYETIFILSAKLGSDVPFFIEGGCQFCFGRGEILEKYSSNFDFGVILLKNPNISISTVDTYKKYSQEFCPKYFTETEKTNKIRNDLRVNGFNDFKLSEQRINVKNDLQVIVERENNSVKKALYLLSNLQNCLSYSMSGSGPTCFALFKDINIANEVFEQNYKMFNNNGFEAWVCKLINSGITLL
+MTEVINNIPDFEKYLTDTKKVVEEALDFSLGPENPEILRESMRYSLLAGGKRIRPILCLASCSLAGGEPSLAVPTAVAIEMIHTMSLIHDDLPAMDNDGFRRGRPTNHKVYGDAIAILAGDALLTRAFEMVSLRSPGVDSNRLLNVVGELSLVAGAPGLVGGQVVDLECEGKEVDLETLEYIHLHKTGALLKASVRTGAMIAGANEELLNALTTYAEGIGLAFQIIDDILDLTSSSEKLGKTAGKDLLADKTTYPKLLGMEESKKKAFDLVDQAKKAIEPWGLNAKYLISLADFITNRDR,MTEVINNIPDFEKYLTDTKKVVEEALDFSLGPENPEILRESMRYSLLAGGKRIRPILCLASCSLAGGEPSLAVPTAVAIEMIHTMSLIHDDLPAMDNDGFRRGRPTNHKVYGDAIAILAGDALLTRAFEMVSLRSPGVDSNRLLNVVGELSLVAGAPGLVGGQVVDLECEGKEVDLETLEYIHLHKTGALLKASVRTGAMIAGANEELLNALTTYAEGIGLAFQIIDDILDLTSSSEKLGKTAGKDLLADKTTYPKLLGMEESKKKAFDLVDQAKKAIEPWGLNAKYLISLADFITNRDR
+VNFWGFINLKFLLDVLFALGFGLLLFSRVKEQRTLWLLRGYLLLVSFAWFIQRYAYLPLTSKLIDAVVLACSLSLAILWQGELRRLMELLGTGRLAVLLGNPPKEFRATSTTVNQLVDAAGKLSQNRKGALIVVDLGSDLRPEDFLYSGIKIEAKLSTDLLINLFATDTPLHDGAVLVKGNKIISAGVILPLSRQGISRYGTRHLAALGITERFDRCICIVVSEETGTLSLANQGKLERPITSSRLQELLIKLVGNQNTSGTPKSSSNKTNSYQKTNTNDTITVEKKLDKQNTIQD,VNFWGFINLKFLLDVLFALGFGLLLFSRVKEQRTLWLLRGYLLLVSFAWFIQRYAYLPLTSKLIDAVVLACSLSLAILWQGELRRLMELLGTGRLAVLLGNPPKEFRATSTTVNQLVDAAGKLSQNRKGALIVVDLGSDLRPEDFLYSGIKIEAKLSTDLLINLFATDTPLHDGAVLVKGNKIISAGVILPLSRQGISRYGTRHLAALGITERFDRCICIVVSEETGTLSLANQGKLERPITSSRLQELLIKLVGNQNTSGTPKSSSNKTNSYQKTNTNDTITVEKKLDKQNTIQD
+MENPTKNKIQNLIDLNPVMVFMKGTKLMPQCGFSNNVVQILNSLGVTFNTFDVLSDFEIREGIKEYSEWPTIPQVYLKGEFLGGSDILIEMYNAGTLKEKIEIALAS,VNSNSSNQVGKNIRRTGFLIVLSYLLIVLIMKVLEANNFFGYSLSSFSNDIFAPPSLKHLCGTDRLGRDVCLRTLQGSSIAIEVVFLAIFFALILGLPLGLLSGYFGGILDKCLSLVMDTIFSIPVILLAVVVAFVLGKGIINASIALCIVYSPQYFRLIRNQTMLIKSETYVEAARVSGADVKTIIFKYILPNVITPLPILLTLNAADAVLVLGSLGFLGLGVPANVPEWGSDLNLALAAIPTGIWWTALFPGLAMFFLVLGLSFIGEELENIFEN
+MENPTKNKIQNLIDLNPVMVFMKGTKLMPQCGFSNNVVQILNSLGVTFNTFDVLSDFEIREGIKEYSEWPTIPQVYLKGEFLGGSDILIEMYNAGTLKEKIEIALAS,MVMNVSIVIPTYNRKPILEKCLKALEKQNLNENISNYEVIVVDDGSTDGTTYWIKDNYEVLPHVVLYEQEHGGPALGRNLGVMKSKYEIIIFIDSDLIVLDDFIACHVNKLLFSWSKNTKKCFTYGSVINTSNFSNPESERYKLTDFSFAYFATGNVAISKELLLSVGLFDNSFSLYGWEDLELGERLKKLGTKLIKCPEAVGFHWHPPFDCGQIESLVSQEKERARMALIFYKKHSNLRVRFMIQLTPIHILLWQIICLGGLISIKRLLPLLRFLIDSGRNRIALEIVRIPLNLIYVKELRRLI
+VRIFMKLFKSLLVAPATIGLLAPFSTFAGEANLNDISKYSNLEHLDLANAFVNDEPKNNSLLAGGEGLVDSGSSDGGFSQTTTASFSVDAVLGAIDGNASATTGQGEETGFDFQFNIGLSTSFTGEDSLDIAIDNGSATASPIGAKMGFDTGTSLVVDGVTYSFPVGGATMVVGDATDVSATYTGACTYSAFTDTTLDDCGTGNSIGAGGKGVAASLGYAFDSGFSIAGGISSPTTEIVGDDADLYGLNVAYSTDSYGVAVGYAIDDGGTGAETTTWGLNGFYTFDLASLSVGYETSETGGTDSSGYFVGLSFSEVGPGSVNVGAATTGLFADSVTEYLIYEASYSYPVNDAMTITPGIFIEETAGDDLTGVAVKTSFSF,MKVNKKYKGLVTKKFNEFYLVELDKYETSVANKKFLCKIKKSVNFRNQFVFVGDEVIVYQIDLQSKRATIESLVKRNNLLERPSVANISNIYVICSVEEPKLNLSQVNKFLISSEQLGVEVSLVLTKCDLITEEKRLLLIEKFHQWGYQAITLNLNNPENLRTLLIELKKKKCSIFMGPSGVGKTTLLNMIIPNLDNKTAPVSSKIKRGKNTTRNVELFSLSSKSYIVDTPGFNIQTLEIDIRELSNLYPEIYKQVVNEGIHCKFRNCLHVNDEGCKLNKNFERYTFYKEMVESSKSHYCLIQED
+VRIFMKLFKSLLVAPATIGLLAPFSTFAGEANLNDISKYSNLEHLDLANAFVNDEPKNNSLLAGGEGLVDSGSSDGGFSQTTTASFSVDAVLGAIDGNASATTGQGEETGFDFQFNIGLSTSFTGEDSLDIAIDNGSATASPIGAKMGFDTGTSLVVDGVTYSFPVGGATMVVGDATDVSATYTGACTYSAFTDTTLDDCGTGNSIGAGGKGVAASLGYAFDSGFSIAGGISSPTTEIVGDDADLYGLNVAYSTDSYGVAVGYAIDDGGTGAETTTWGLNGFYTFDLASLSVGYETSETGGTDSSGYFVGLSFSEVGPGSVNVGAATTGLFADSVTEYLIYEASYSYPVNDAMTITPGIFIEETAGDDLTGVAVKTSFSF,MAGFGLPNFGQLTEAFKKAKEIQQNAQKLQDELESMEIEGKSDDEMIKVWISGNQLPLRVEVNENISTANKEEIEKNILEAIKKAHESSTTTMKERMNDLTGGLNLNLPGLDNNDS
+VRIFMKLFKSLLVAPATIGLLAPFSTFAGEANLNDISKYSNLEHLDLANAFVNDEPKNNSLLAGGEGLVDSGSSDGGFSQTTTASFSVDAVLGAIDGNASATTGQGEETGFDFQFNIGLSTSFTGEDSLDIAIDNGSATASPIGAKMGFDTGTSLVVDGVTYSFPVGGATMVVGDATDVSATYTGACTYSAFTDTTLDDCGTGNSIGAGGKGVAASLGYAFDSGFSIAGGISSPTTEIVGDDADLYGLNVAYSTDSYGVAVGYAIDDGGTGAETTTWGLNGFYTFDLASLSVGYETSETGGTDSSGYFVGLSFSEVGPGSVNVGAATTGLFADSVTEYLIYEASYSYPVNDAMTITPGIFIEETAGDDLTGVAVKTSFSF,MASQISYRGNKNPIKKKLSFFEGGHQLEKLEFALAVAQTKGDEQKSLVLMKKIIELGGNVEEPGT
+VRIFMKLFKSLLVAPATIGLLAPFSTFAGEANLNDISKYSNLEHLDLANAFVNDEPKNNSLLAGGEGLVDSGSSDGGFSQTTTASFSVDAVLGAIDGNASATTGQGEETGFDFQFNIGLSTSFTGEDSLDIAIDNGSATASPIGAKMGFDTGTSLVVDGVTYSFPVGGATMVVGDATDVSATYTGACTYSAFTDTTLDDCGTGNSIGAGGKGVAASLGYAFDSGFSIAGGISSPTTEIVGDDADLYGLNVAYSTDSYGVAVGYAIDDGGTGAETTTWGLNGFYTFDLASLSVGYETSETGGTDSSGYFVGLSFSEVGPGSVNVGAATTGLFADSVTEYLIYEASYSYPVNDAMTITPGIFIEETAGDDLTGVAVKTSFSF,MITLYQFRHSAFCLKTRMALHAKKLQYRVEEVTPGLGQFEIFKISGQKQVPIIVDDNDQIISDSTIICEYINKKNDNNPLFPKDPLLFAQCKLIEDWADTTMASTCRKALIKSAIENPQLRTALLPDEIPSSVKGLVDKLPFKNLSKISNVVFSTKDNLELQKILEALSKALINKKYLIGDNLSIADIAISAQLSLLKFPKSSGPILSGEGCQEYINNPYLENIFIWRNNIEEYLFSANSQ
+VRIFMKLFKSLLVAPATIGLLAPFSTFAGEANLNDISKYSNLEHLDLANAFVNDEPKNNSLLAGGEGLVDSGSSDGGFSQTTTASFSVDAVLGAIDGNASATTGQGEETGFDFQFNIGLSTSFTGEDSLDIAIDNGSATASPIGAKMGFDTGTSLVVDGVTYSFPVGGATMVVGDATDVSATYTGACTYSAFTDTTLDDCGTGNSIGAGGKGVAASLGYAFDSGFSIAGGISSPTTEIVGDDADLYGLNVAYSTDSYGVAVGYAIDDGGTGAETTTWGLNGFYTFDLASLSVGYETSETGGTDSSGYFVGLSFSEVGPGSVNVGAATTGLFADSVTEYLIYEASYSYPVNDAMTITPGIFIEETAGDDLTGVAVKTSFSF,VLIIYRSNSLTAKEASIFCNKTLKERNIKSKRIESDFDNNQLENYFYNLAALPDLVIVLGGDGTVLKSANALVNYDIPILSFNIGGNLGFLTQEKDFLFDQSFIKILEKEEFIIDFRNRLHCDVYSNEKNRERKILKSYDALNDFYFKSVEEDISPTNQIQIEIDNEKVNEYKGDGLIISSSTGSTAYSMAAGGPIVHPSINAFVINPICPMSLASRPIIIPDTSKVVIRVVQKNKREIKLWKDGSKCMTIKENDYCEINKVTKPCKMIKFNKSISYYITLIKKLDWKGDLSLKNNQNN
+VRIFMKLFKSLLVAPATIGLLAPFSTFAGEANLNDISKYSNLEHLDLANAFVNDEPKNNSLLAGGEGLVDSGSSDGGFSQTTTASFSVDAVLGAIDGNASATTGQGEETGFDFQFNIGLSTSFTGEDSLDIAIDNGSATASPIGAKMGFDTGTSLVVDGVTYSFPVGGATMVVGDATDVSATYTGACTYSAFTDTTLDDCGTGNSIGAGGKGVAASLGYAFDSGFSIAGGISSPTTEIVGDDADLYGLNVAYSTDSYGVAVGYAIDDGGTGAETTTWGLNGFYTFDLASLSVGYETSETGGTDSSGYFVGLSFSEVGPGSVNVGAATTGLFADSVTEYLIYEASYSYPVNDAMTITPGIFIEETAGDDLTGVAVKTSFSF,MSKKRKRISRRRLAGQRVMAHVPIYHIETGKHKPVTAARRFIAENALSAPSVFNVRRNEHTTDRFFWGQKGLFSAQYAEENHFLFPSLKVVVEGIGEEKIFEGLELTADDWEEIEEYEYAFV
+VRIFMKLFKSLLVAPATIGLLAPFSTFAGEANLNDISKYSNLEHLDLANAFVNDEPKNNSLLAGGEGLVDSGSSDGGFSQTTTASFSVDAVLGAIDGNASATTGQGEETGFDFQFNIGLSTSFTGEDSLDIAIDNGSATASPIGAKMGFDTGTSLVVDGVTYSFPVGGATMVVGDATDVSATYTGACTYSAFTDTTLDDCGTGNSIGAGGKGVAASLGYAFDSGFSIAGGISSPTTEIVGDDADLYGLNVAYSTDSYGVAVGYAIDDGGTGAETTTWGLNGFYTFDLASLSVGYETSETGGTDSSGYFVGLSFSEVGPGSVNVGAATTGLFADSVTEYLIYEASYSYPVNDAMTITPGIFIEETAGDDLTGVAVKTSFSF,MSKIKENKEQFWLEKFDCFSVTGKDSKRFLNGITTGNIVDLNNKVLKSCWLSPNGILKSLLEINCSEKELKVIVLVGNTSEIRKYFNDIIFPSDDVSLSDSFSINRLQQVDDMNSWRITQPIFLKNEDKKYDFYKNNPNSMNTNDLQLWKINQAIPSLNSEINGKNNPLELGLTDLIDFNKGCYLGQETMSKIKNVSSLKQEIRVWTAKDKDVNLESVNKILFNNQNKEKSVGYITSIYVLESRIIKGLAMIKRKYLDKGNPFFSDNFGQISLEKSVGSTFL
+VRIFMKLFKSLLVAPATIGLLAPFSTFAGEANLNDISKYSNLEHLDLANAFVNDEPKNNSLLAGGEGLVDSGSSDGGFSQTTTASFSVDAVLGAIDGNASATTGQGEETGFDFQFNIGLSTSFTGEDSLDIAIDNGSATASPIGAKMGFDTGTSLVVDGVTYSFPVGGATMVVGDATDVSATYTGACTYSAFTDTTLDDCGTGNSIGAGGKGVAASLGYAFDSGFSIAGGISSPTTEIVGDDADLYGLNVAYSTDSYGVAVGYAIDDGGTGAETTTWGLNGFYTFDLASLSVGYETSETGGTDSSGYFVGLSFSEVGPGSVNVGAATTGLFADSVTEYLIYEASYSYPVNDAMTITPGIFIEETAGDDLTGVAVKTSFSF,VENSINISILIPLIPMGMALLILSLLVSFNRTINRLTKPVSALAVFSLLSSALISAFLYFKKIEGEIFLSDYLKLFGSTNLILHLNSLTEKIVIFFAVIIAIVIGVLFYKLPRRKGYVSLIIGISLISSSIMFAVFFLDFSFLI
+VRIFMKLFKSLLVAPATIGLLAPFSTFAGEANLNDISKYSNLEHLDLANAFVNDEPKNNSLLAGGEGLVDSGSSDGGFSQTTTASFSVDAVLGAIDGNASATTGQGEETGFDFQFNIGLSTSFTGEDSLDIAIDNGSATASPIGAKMGFDTGTSLVVDGVTYSFPVGGATMVVGDATDVSATYTGACTYSAFTDTTLDDCGTGNSIGAGGKGVAASLGYAFDSGFSIAGGISSPTTEIVGDDADLYGLNVAYSTDSYGVAVGYAIDDGGTGAETTTWGLNGFYTFDLASLSVGYETSETGGTDSSGYFVGLSFSEVGPGSVNVGAATTGLFADSVTEYLIYEASYSYPVNDAMTITPGIFIEETAGDDLTGVAVKTSFSF,MKRKEDSKNNNYDSMSFTDHLEELRQRLLNSIYSILICIFFSFLIIKPLISFLEIPASDIHLLQLAPGEFLFVAIKVAGYSGIIVSIPYIFYQLILFISPGLTKKEKNLILPAVFGSGLLFFLGLIFSWWILVPAAINFFINFGADIVEPTWSIERYFDFVLLLMSSTAIAFQLPVLQFILGSLGIITTEKMLSNWKIVVISSAILSAVITPSTDPLTMSLLSISIIFLFFVGAGLTYISESLKSKTLSSSH
+VRIFMKLFKSLLVAPATIGLLAPFSTFAGEANLNDISKYSNLEHLDLANAFVNDEPKNNSLLAGGEGLVDSGSSDGGFSQTTTASFSVDAVLGAIDGNASATTGQGEETGFDFQFNIGLSTSFTGEDSLDIAIDNGSATASPIGAKMGFDTGTSLVVDGVTYSFPVGGATMVVGDATDVSATYTGACTYSAFTDTTLDDCGTGNSIGAGGKGVAASLGYAFDSGFSIAGGISSPTTEIVGDDADLYGLNVAYSTDSYGVAVGYAIDDGGTGAETTTWGLNGFYTFDLASLSVGYETSETGGTDSSGYFVGLSFSEVGPGSVNVGAATTGLFADSVTEYLIYEASYSYPVNDAMTITPGIFIEETAGDDLTGVAVKTSFSF,MTINEKIISDKELKISDWELDFYSRPIIETNGKKRWELIISSSKSFKTEKIFLWNKVCPANEVNSIWLTKALNEALNDAEIEGWAKPLKIRFWRASMKSIIKKSIENIGIEALVSRRTYELFDRIEFLEREIYPLEQGYVRGVLAPTFTSNILNDPKPLPEAVRGDALTISEISIEELKLAKNWPIEFGDIFPIQSSIKNDNLVPGLRLFSKDRSLALAAWFSSLEPVKLLIKQNQLILEASEDDKWLVTDLQEKDAKVLNDKFTQSKKDSYGYQFISIQATPFIEKFAGFWILKDVELIS
+VRIFMKLFKSLLVAPATIGLLAPFSTFAGEANLNDISKYSNLEHLDLANAFVNDEPKNNSLLAGGEGLVDSGSSDGGFSQTTTASFSVDAVLGAIDGNASATTGQGEETGFDFQFNIGLSTSFTGEDSLDIAIDNGSATASPIGAKMGFDTGTSLVVDGVTYSFPVGGATMVVGDATDVSATYTGACTYSAFTDTTLDDCGTGNSIGAGGKGVAASLGYAFDSGFSIAGGISSPTTEIVGDDADLYGLNVAYSTDSYGVAVGYAIDDGGTGAETTTWGLNGFYTFDLASLSVGYETSETGGTDSSGYFVGLSFSEVGPGSVNVGAATTGLFADSVTEYLIYEASYSYPVNDAMTITPGIFIEETAGDDLTGVAVKTSFSF,MESIFNNSFATLVAYVGIVSIYLLVIPLILFYWMNNRWNVMGKFERLIVYGLVFLFFPGLILFSPFLNLRLRGDSKG
+VRIFMKLFKSLLVAPATIGLLAPFSTFAGEANLNDISKYSNLEHLDLANAFVNDEPKNNSLLAGGEGLVDSGSSDGGFSQTTTASFSVDAVLGAIDGNASATTGQGEETGFDFQFNIGLSTSFTGEDSLDIAIDNGSATASPIGAKMGFDTGTSLVVDGVTYSFPVGGATMVVGDATDVSATYTGACTYSAFTDTTLDDCGTGNSIGAGGKGVAASLGYAFDSGFSIAGGISSPTTEIVGDDADLYGLNVAYSTDSYGVAVGYAIDDGGTGAETTTWGLNGFYTFDLASLSVGYETSETGGTDSSGYFVGLSFSEVGPGSVNVGAATTGLFADSVTEYLIYEASYSYPVNDAMTITPGIFIEETAGDDLTGVAVKTSFSF,MTNKKRILSGVQPTGDLHIGNWLGAINNWVELQEKHETFLCVVDLHAITTEYDTKQLSKNTLSTAALYIACGINPKICSIFVQSQISAHSELCWILNCMTPINWMERMIQFKEKSIQQGNNVSIGLFDYPILMAADILLYDADYVPVGEDQKQHLELAKDIAQQRINAKFGKEENILKIPQPIIMKKGSKIMSLNDGSKKMSKSDINEGSRINLLDTPEIITKKIKRAKSDSYMGMEFNNPERPESRNLLMIYSLLSGKEVSELENDLSQTGWGTFKKIFTEQIIESLKPIQERYQVLINDPHELNKILIQGKEKAEVVANKTLSRVKSELGFFEIEK
+VRIFMKLFKSLLVAPATIGLLAPFSTFAGEANLNDISKYSNLEHLDLANAFVNDEPKNNSLLAGGEGLVDSGSSDGGFSQTTTASFSVDAVLGAIDGNASATTGQGEETGFDFQFNIGLSTSFTGEDSLDIAIDNGSATASPIGAKMGFDTGTSLVVDGVTYSFPVGGATMVVGDATDVSATYTGACTYSAFTDTTLDDCGTGNSIGAGGKGVAASLGYAFDSGFSIAGGISSPTTEIVGDDADLYGLNVAYSTDSYGVAVGYAIDDGGTGAETTTWGLNGFYTFDLASLSVGYETSETGGTDSSGYFVGLSFSEVGPGSVNVGAATTGLFADSVTEYLIYEASYSYPVNDAMTITPGIFIEETAGDDLTGVAVKTSFSF,LALIIPSNYHKISDVEKNHISWIEPDLAERQDIRPLRIGILNIMPLGKQYEFNLLHPLGLSPLQIEPVWIKLKTHSYKTWDLNHLNNLYTTWEEANDPEPLDGVIITGAPVEHLAFEEVKYWDEFVNITNEARNSCASTLGLCWAGFALAYLAGVNKTVFDKKLFGVFPLKSLAPGHPLMGTQDDEFICPQSRFAGLPDLEMEEAQKEGKLNLLAYGKDVGYTIFETKDQKQLMHLGHPEYTVHRIISEINRDKEKGDVPPPENFDINSSNTSWRSHRNLLFQQWLWFCYQQVSLS
+VRIFMKLFKSLLVAPATIGLLAPFSTFAGEANLNDISKYSNLEHLDLANAFVNDEPKNNSLLAGGEGLVDSGSSDGGFSQTTTASFSVDAVLGAIDGNASATTGQGEETGFDFQFNIGLSTSFTGEDSLDIAIDNGSATASPIGAKMGFDTGTSLVVDGVTYSFPVGGATMVVGDATDVSATYTGACTYSAFTDTTLDDCGTGNSIGAGGKGVAASLGYAFDSGFSIAGGISSPTTEIVGDDADLYGLNVAYSTDSYGVAVGYAIDDGGTGAETTTWGLNGFYTFDLASLSVGYETSETGGTDSSGYFVGLSFSEVGPGSVNVGAATTGLFADSVTEYLIYEASYSYPVNDAMTITPGIFIEETAGDDLTGVAVKTSFSF,MHSKINYFLGIFLSIVILIFNEPSFAINNPNLLPEEKTPVIDLAKTLSPNQKKSLEENLNNLEKESGWKIKYLSQFESVPGIAIKDYWDLDETSLLVIADPRGGNLLNFNVGEAYFAFMPRLFWVELQTRFGNQYYVKDHGEDGAVLDAINSVKICLDRGGCQVVPGLPKEQYIWTLCTSILGGLVAGFAAAPRKEGQIISIGFLALLSPLWGMLFGIFGLAPIISRTSEVLPLFKNGLAFAAAAIAGYLLSQTVFSRYEKPKKS
+VRIFMKLFKSLLVAPATIGLLAPFSTFAGEANLNDISKYSNLEHLDLANAFVNDEPKNNSLLAGGEGLVDSGSSDGGFSQTTTASFSVDAVLGAIDGNASATTGQGEETGFDFQFNIGLSTSFTGEDSLDIAIDNGSATASPIGAKMGFDTGTSLVVDGVTYSFPVGGATMVVGDATDVSATYTGACTYSAFTDTTLDDCGTGNSIGAGGKGVAASLGYAFDSGFSIAGGISSPTTEIVGDDADLYGLNVAYSTDSYGVAVGYAIDDGGTGAETTTWGLNGFYTFDLASLSVGYETSETGGTDSSGYFVGLSFSEVGPGSVNVGAATTGLFADSVTEYLIYEASYSYPVNDAMTITPGIFIEETAGDDLTGVAVKTSFSF,LTNYTHYTTVVVHLYYLLMTLGGANVWSNFSYGSRVDSPNGWILNPQGSFLILFENCKKSARNNINVYTHLLFTNHLGEPAGLKNTRLHDLDSAFETWNELIAGGWTEVTNQFQESA
+VRIFMKLFKSLLVAPATIGLLAPFSTFAGEANLNDISKYSNLEHLDLANAFVNDEPKNNSLLAGGEGLVDSGSSDGGFSQTTTASFSVDAVLGAIDGNASATTGQGEETGFDFQFNIGLSTSFTGEDSLDIAIDNGSATASPIGAKMGFDTGTSLVVDGVTYSFPVGGATMVVGDATDVSATYTGACTYSAFTDTTLDDCGTGNSIGAGGKGVAASLGYAFDSGFSIAGGISSPTTEIVGDDADLYGLNVAYSTDSYGVAVGYAIDDGGTGAETTTWGLNGFYTFDLASLSVGYETSETGGTDSSGYFVGLSFSEVGPGSVNVGAATTGLFADSVTEYLIYEASYSYPVNDAMTITPGIFIEETAGDDLTGVAVKTSFSF,LKEDSSYLIKYTSSGLYCELADTWIDPIKPVKRALITHAHMDHFTFGCDEYISTYETAVIIKERIGKEINIKTYDYEKEFKINGIKISFHPSGHILGSSQIKFSLAEEIWLITGDFKRQKDETCKEYEIVKTDYLISESTFGLPIFKWDEPQKTASDITKWVNSSQEKTSILFCYSLGKAQRLLNEISKTNFINNIYTHSSIYRMNNCYKKLGIDIIETTKLEQTKNNSDLKGSLIILPPALNKSSSLKNFKDIQTGFASGWMSIRALRKRSGYDKGFSISDHADWIAILKTIKESKAKNVFFHHGESEALNKYLKEKNSINVLEFEFKK
+VRIFMKLFKSLLVAPATIGLLAPFSTFAGEANLNDISKYSNLEHLDLANAFVNDEPKNNSLLAGGEGLVDSGSSDGGFSQTTTASFSVDAVLGAIDGNASATTGQGEETGFDFQFNIGLSTSFTGEDSLDIAIDNGSATASPIGAKMGFDTGTSLVVDGVTYSFPVGGATMVVGDATDVSATYTGACTYSAFTDTTLDDCGTGNSIGAGGKGVAASLGYAFDSGFSIAGGISSPTTEIVGDDADLYGLNVAYSTDSYGVAVGYAIDDGGTGAETTTWGLNGFYTFDLASLSVGYETSETGGTDSSGYFVGLSFSEVGPGSVNVGAATTGLFADSVTEYLIYEASYSYPVNDAMTITPGIFIEETAGDDLTGVAVKTSFSF,MNFKNHHQKKRFGQHWLVNNLILEKIKEVAELEEKDFILEIGPGRGALTSKLLDSKISRLHAIELDEDLIDLLNNKFRNDKNFSLQQGDILSTNLDSINKKITKVIANIPYNITGPILDIFVGRLGIISKNNYNKIIFLMQKDVVDRILAKDGNTNAGAMSVRMQLISNIRRICDVPPSSFDPPPKVFSTLVVFEPLRPEMRLDIKLEKYLDKLLRISFNSRRKMIRNTLNSILSAEEIEKLSESSQICFNSRPQDISINKWIKLAEACIKITNKNQ
+VRIFMKLFKSLLVAPATIGLLAPFSTFAGEANLNDISKYSNLEHLDLANAFVNDEPKNNSLLAGGEGLVDSGSSDGGFSQTTTASFSVDAVLGAIDGNASATTGQGEETGFDFQFNIGLSTSFTGEDSLDIAIDNGSATASPIGAKMGFDTGTSLVVDGVTYSFPVGGATMVVGDATDVSATYTGACTYSAFTDTTLDDCGTGNSIGAGGKGVAASLGYAFDSGFSIAGGISSPTTEIVGDDADLYGLNVAYSTDSYGVAVGYAIDDGGTGAETTTWGLNGFYTFDLASLSVGYETSETGGTDSSGYFVGLSFSEVGPGSVNVGAATTGLFADSVTEYLIYEASYSYPVNDAMTITPGIFIEETAGDDLTGVAVKTSFSF,LSRLLISFIFFAIVFLSPLSTFASHTSDPTVSLLQSRISKNFSKKFCNAIQNGLSKDEAMTSAIVKTENIVSFSYNPQKKWIEKEDLANQISIKVINDCGWSFGLIGKEGIDYFNSYFLEIYDKTTPDKKLSS
+VRIFMKLFKSLLVAPATIGLLAPFSTFAGEANLNDISKYSNLEHLDLANAFVNDEPKNNSLLAGGEGLVDSGSSDGGFSQTTTASFSVDAVLGAIDGNASATTGQGEETGFDFQFNIGLSTSFTGEDSLDIAIDNGSATASPIGAKMGFDTGTSLVVDGVTYSFPVGGATMVVGDATDVSATYTGACTYSAFTDTTLDDCGTGNSIGAGGKGVAASLGYAFDSGFSIAGGISSPTTEIVGDDADLYGLNVAYSTDSYGVAVGYAIDDGGTGAETTTWGLNGFYTFDLASLSVGYETSETGGTDSSGYFVGLSFSEVGPGSVNVGAATTGLFADSVTEYLIYEASYSYPVNDAMTITPGIFIEETAGDDLTGVAVKTSFSF,VNKKKLYLANPYGFSKQTKNLLPEFIKIFQNLNVEVYEPFERTKHLITNKNNWAYDLAKANFNDLKSCDCIFAIVNGNPPDEGVMVELGISIALNKEIFLFRDDFRNCSDSDQYPLNLMLFVGLSKESWSKNYFESIEDILNPKKSFLNWAKRI
+VRIFMKLFKSLLVAPATIGLLAPFSTFAGEANLNDISKYSNLEHLDLANAFVNDEPKNNSLLAGGEGLVDSGSSDGGFSQTTTASFSVDAVLGAIDGNASATTGQGEETGFDFQFNIGLSTSFTGEDSLDIAIDNGSATASPIGAKMGFDTGTSLVVDGVTYSFPVGGATMVVGDATDVSATYTGACTYSAFTDTTLDDCGTGNSIGAGGKGVAASLGYAFDSGFSIAGGISSPTTEIVGDDADLYGLNVAYSTDSYGVAVGYAIDDGGTGAETTTWGLNGFYTFDLASLSVGYETSETGGTDSSGYFVGLSFSEVGPGSVNVGAATTGLFADSVTEYLIYEASYSYPVNDAMTITPGIFIEETAGDDLTGVAVKTSFSF,VRIFMKLFKSLLVAPATIGLLAPFSTFAGEANLNDISKYSNLEHLDLANAFVNDEPKNNSLLAGGEGLVDSGSSDGGFSQTTTASFSVDAVLGAIDGNASATTGQGEETGFDFQFNIGLSTSFTGEDSLDIAIDNGSATASPIGAKMGFDTGTSLVVDGVTYSFPVGGATMVVGDATDVSATYTGACTYSAFTDTTLDDCGTGNSIGAGGKGVAASLGYAFDSGFSIAGGISSPTTEIVGDDADLYGLNVAYSTDSYGVAVGYAIDDGGTGAETTTWGLNGFYTFDLASLSVGYETSETGGTDSSGYFVGLSFSEVGPGSVNVGAATTGLFADSVTEYLIYEASYSYPVNDAMTITPGIFIEETAGDDLTGVAVKTSFSF
+MANSQVTTESGGRQNMFPSETRPYIDESVSYDSYPKNAEKVNGRWAMIGFVALLGAYVTTGQIIPGIF,VRIFMKLFKSLLVAPATIGLLAPFSTFAGEANLNDISKYSNLEHLDLANAFVNDEPKNNSLLAGGEGLVDSGSSDGGFSQTTTASFSVDAVLGAIDGNASATTGQGEETGFDFQFNIGLSTSFTGEDSLDIAIDNGSATASPIGAKMGFDTGTSLVVDGVTYSFPVGGATMVVGDATDVSATYTGACTYSAFTDTTLDDCGTGNSIGAGGKGVAASLGYAFDSGFSIAGGISSPTTEIVGDDADLYGLNVAYSTDSYGVAVGYAIDDGGTGAETTTWGLNGFYTFDLASLSVGYETSETGGTDSSGYFVGLSFSEVGPGSVNVGAATTGLFADSVTEYLIYEASYSYPVNDAMTITPGIFIEETAGDDLTGVAVKTSFSF
+MLNLIKKNLNIKSGIALIVLATIFVFLSNSFKKNKSKDISNFVVSVEKGILSESINTSGEVKATRTSNIGPRKQGILEEIKVEEGDLVEKGQILATLDDEDFIYKLEELELNLKKQKSEYLRREFLFKEGAVSKEDYESYKNKYNTSEAKFSDAKAEKDFYSIRAPYPGKITAKYAEIGSYVTPSSNLSSNSKAKNFIFELSEGLEIIAKVPESDIGRIKTGQEASVRIEAYPSNKYRAIVKKIAERAVKDNNVTSFEVTLKFKEISEEIKIGMTADLEFKVKSSEEKILVPTVSIVTEKGEKGVLKVDKNNTPKFEKIEIGISSGNKTSIIEGLRPGEQIFIDIPPWANKRK,VRIFMKLFKSLLVAPATIGLLAPFSTFAGEANLNDISKYSNLEHLDLANAFVNDEPKNNSLLAGGEGLVDSGSSDGGFSQTTTASFSVDAVLGAIDGNASATTGQGEETGFDFQFNIGLSTSFTGEDSLDIAIDNGSATASPIGAKMGFDTGTSLVVDGVTYSFPVGGATMVVGDATDVSATYTGACTYSAFTDTTLDDCGTGNSIGAGGKGVAASLGYAFDSGFSIAGGISSPTTEIVGDDADLYGLNVAYSTDSYGVAVGYAIDDGGTGAETTTWGLNGFYTFDLASLSVGYETSETGGTDSSGYFVGLSFSEVGPGSVNVGAATTGLFADSVTEYLIYEASYSYPVNDAMTITPGIFIEETAGDDLTGVAVKTSFSF

MED4_RRS_100.csv

@@ -0,0 +1,101 @@
+LSKRNPIILIHGLWNTADIFSSITSKLDEIGIEYFSPTLKHEYGMTSIVELTNLLNYLILEKYGYEKELDILGFSMGGIIGRYWIKKLNGYKRTRRFITIGSPHNGTLSSQLIPKYPFKGISEMKINSPLLRELSRSDYLLSGIDCISFFTYWDLMVFPGWRACLNSGEKISLKIYKHKNLVRNPDAVDKIIEKLLN,VRNSPFLPNRPLKVAVLGSSGAVGSELLKILEERDFPISELVLLSSQRSEGKIVKWKGEEIITKKASKEEFLNVDLVLASAGGSISKQWLSTVKDQNAVLIDNSSAFRLENDVPLVVPEVNACEALKHNGVIANPNCTTILLTLVLAPLNKISPIKRVIVSTYQSVSGAGQLAMEELQFLTKKYLQGDPKESEVLPYSLAFNLFLHNSPMLSNNYCEEEMKMTNETRKILNITDLKLSSTCVRVPVLRAHSESVNVEFDDVIKPSYAINQLKKAKGLEIIEDYEKNRFPMPNDVMGRDNIAVGRIRTDISNSNGLELWLCGDQIRKGAALNAVQIAELLIAKK
+LTNYTHYTTVVVHLYYLLMTLGGANVWSNFSYGSRVDSPNGWILNPQGSFLILFENCKKSARNNINVYTHLLFTNHLGEPAGLKNTRLHDLDSAFETWNELIAGGWTEVTNQFQESA,MLRKLIHPILILPFCLYINSQEALLSKANNSIEEILHENENQIFLNYSDIDNITLKNNRELKALESLVNSTMFTLSSKIAKRYPSLDLQASGLPKYTSGKNYNSSSSTTKTSQFSANPSLNIKLDLIDPLRGSEIKIARNNYAIAKNNYEIKKKDLIKEAKSRYHKLQKSYQDIKNKTLSLDLSITSLKDAQSKFDAGIGTKFEVLEAEAQLSRDMQSLNEKKIQNQINKIELKEILNINGDFEINQKQKLIGFWNHKLNKNITEGLANSLSLKNINLKKSIKENQAKNYLNVYKPNVYISNNFTSSFSKGDSLSVKIDPEKSGSSYTNTVSLNFSWNIFDGGQNKNLYKSSKADVKSEDYSYKNIENVLKTNISKAYLNLKLNEEKILSSLKEISSTEESLRLARLRYDIGISTLKDVLVRQKELSNANSKKIDSIYNYNLNLDELVRLTFLEISNICNEENNLIKNEIQSICNI
+MNQFFSRRSFILIPIMSILKFILQPKKVLAAFAASDDDWNLSKEDWKNKLSPESYYILREEGTERAFSSQLNNEKRKGIFYCAGCNQPLFTSDTKFDSGTGWPSFWDPIQGSVETKVDFKLIVPRTEYHCSRCGGHQGHVFNDGPLPTGKRYCNNGLALKFIAE,MTNTKVSNNNPDKESIINKSITKAKDNEIIKNKTIQNKKVNSVSKEPNKSVDDISNELFSELISKKISLVQEIKDLETKKNELEKDIESNFKGQSDNIAKRVKGFQEYLTGSLQNLSQNVEKLELVSQPIVVKPSPLDEKKEASNKNELLTVPALSETFKPDEQLIRSCFSNFIEQPDFYSEPWKLRRSLDSSDIEVMDDWFFNMGGRGSLESRGSRQKNALLSAGFIAILGELYGDQFQTLILASQPERLGEWRRVLQDSLGLTRDDFGPNSGIVLFERPEGVIERADRLEANEELPFIIVDAAETSVEIPILQFPLWLAFAGSNDEIYDDLELN
+MVKEDPVRLELSITPSYGKNPVIVGIVESLDLVARRDREGRMPRDLQGTWDWTVRHGKVSTGGWNPMLKEALQTMFETGLPSIIYEELTGDEYKPVDGIRHVR,MSEYRDSSSNNFLSLISGAFIGAAGLAWWLISEADKRKEEKKQKAMMYSSRIQDGSEAIDTNENIKDVEGDKLEQKVEELNSAIADVRRQLEELGQ
+MSLTQSKEVNSLSRRYSTYIERRITRTVMVGDIAIGSDYPVRVQSMINEDTMDVDNSYLAIKRLHEVGCEIVRLTVPSLAHAKAVGDIKEKLIKNNIDTPLVADVHHNGMKIAMEVAKHVDKVRINPGLFVFEKSDPTRTEYTDTEFETIKKTILKRFTPLVEVLKSENKALRIGVNHGSLSERMLFTYGDTPLGMTESAMEFVKICDELDFHNIIISMKASRAPVMLAAYRMIADRLDAEGYNYPLHLGVTEAGDGDYGRIKSTAGIGTLLAEGLGDTIRVSLTEAPEKEIPVCYSILQSLGLRKTMVEYISCPSCGRTLFNLEEVVDKVRKATSHLTGLDIAIMGCIVNGPGEMADADYGYVGKGKGTIALYRRKEEIKRVPEDEGVDALIRLIKDDGKWIDP,MSKVELISLTPEAEKTMAYIARVSNPSNQANDKFAGLLRYCIKHEHWSVFEQSCMTLKIETNRGIAAQILRHRSFTFQEFSQRYAETSLLGNEIPIPNLRRQDQKNRQNSIDDIPDELKIKFSEKISKHFQEANKLYEEMLNEGIAKECARFIMPLATPTRIYMTGSCRSWIHYIQLRSKEGTQKEHMEIAEDCKKVFIKYFPSVSEALNWE
+MKKLFLLSLLISLISPIKTSAGFPEGEKGYDLKKIEDSFKLPCDEIGNDECIARAFGVGACTWVFGIKNGKDSKEALRIADGVLIALLKGNNLDINSIFEKDGSIKETIQKESVYRINFCKDATKLAIPKLIKKLPEGVELDDERIENLADVFPLQYLTMFEQMRKRN,MKAAILVNQKKKLIVDELDLPTSLKVGQVLVKLEYSGICGTQIGEIDGVKGEDKFLPHLLGHEGSGIVEKVGPGVKTVREGDSVVLHWRQGNGIQSEPPKYNWNGKTVNAGWVTTFNTKAIISENRCTKIPANISKEDAALFGCAVTTGFGVIENNAKLKMGESIVVFGAGGIGLNIIQAARLTSAWPIIAVDLFDNRLDLAKKLGATHSVNSSNKSYLDEIENILKDRELDVFIDNTGNTSIIEMGYNLISDQGRLILVGVPKTGENINIFSLPLHFGKKITGSFGGECNPAKDIPRFIKMMQNGLWDLKGLITESYDLENINEAIFSMRTGKTSGRVIIKL
+MNNVVQNKSKIFYQLQKLRRLAQPFFLPIDQCNGFQFIWLLISLLFCVGGIVLVALTGIISFFESIQPIFLDKYFGGVVNTVNTIWSGWWGLLFSGLFLIGSGSFFSLRRQLKNRRWVHWLFLAVIVLMLLAVNGINAGIGFIARDLTNALVEKQQDGFYRILGIYACCFAVALPIRVSQIFFTYKLGIIWRDWLSKSLVKDYMTNKAYYQLNPNDEEQTDVDNPDQRITDDTRAFTGQSLSFTLGVFDALLTFSLNILILWSISTTLTFSLFGYAAFATAILLIAGKNLVKIDFDQLRYEADFRYGLVHIRDNAESIAFYSGEKPEKSETERRLGEVVRNFNLLIIWRVIIDVMRRSINYAGNFFPYLIMAIPYFRGDIDYGRFIQASFAFGMVEGSLFFIVNQIEELAKFTAGIGRLEGFQSKVESISQTKPIDNQNIISDYSSILINNADLFPPGSDKAIIKNLNLSIETNQSLLVVGPSGCGKTSLLRMISGLWEPNQGSIKKPKTGDLLFIPQKPYMLLGSLREQLCYPTEVDKFSDDHLISVLNEVNLNSIVDRYPNLDVKQDWPRILSLGEQQRLAFARLLLNSPRFAVLDEATSALDIKTEKRLYNLLRDRELSLISVGHRPSLKDFHENILELNGQGGWKLFTTDKYNFKN,MNRWVLLEHKILSSKFIDIHYDFLVEDQLDCLTWKFHEIPSLNKGVIKIVKQPNHRLVWLSRVEYQLSKNRGLVKRIDHGIFSNIPHNQDSQKLKIILNGKLLNGLFIIDGNFCQLTKNN
+MKYLILGSGSFAGQLIFSEYLERNYDVYGFNRSRVKDHYQWPWIKKYKNDLGNRWFEYNLTNDVEEMISHINRLKPNFIIDFMGQGMVAPSWLKPEVWYTTNIAIKSRLMNALIDSSFLQKYIRIGTPEVFGSNENFLKEDECFNPSTPYAVSHAAIDFNLRCLYKQYNFPYLIGRFANFYGVGQQLYRIIPRLFLSCRSERNFILDGKGESRRSFIFSKDIVSAIDSMIKFDGIGQEFNFSSNEEISIMSLVNKICNLTNVDKSRILKFGPERPGKDRYYRLDIKKSKNVLNWEPEVSLDEGLNIINIWISENIENLSNKSWTYEYKD,LSLIFINLLTSIPEYISKAVETNSTIAYLTICLAMFLENIIPPIPSEIIMPLGGFFVYQQKLNFYILVFWGVFGTILGSMPWYYLGKLVNEKRLSNFLDKRGKYIGITSNDLIKSRRWFDKYGVSLVFWGRLVPGIRTLISVPAGMELMPLRKFLIWTSLGSLIWVTLLTYAGFVFGENYPIIETYLNQIKFIVKPILILIFVYFLIKFFIRLYKKKIT
+MGENLPLLLSAALGKKVNRPPVWMMRQAGRYMKIYRDLRERYPSFRERSENPELSYEISMQPFLAFKPDGVILFSDILTPLPGMGINFEIIESKGPIIEDPIRNIRQVEKLKELIPNESLSFVGEVLSSLKKDVKNEATVLGFVGAPWTLAAYVVEGKSSKNYSLIKSMAFKEPDLLHKLLDHFAKSIGEYLKYQIKSGAQVVQIFDSWAGQLSPQDYDIFAGPYQKKVVDIVKEEFPDTPIILYISGSAGVLERMAKTGVDIISLDWTVDIEEACKRIPTGIGIQGNVDPGILFGNKDSIKERIDNTFNKVKERKYILNLGHGILPGTPEENAKTFFEHGKKLTY,MRGSIKRSNESYQDSYSPNGIIGEKDACGVGFIANIDGKESNWILKQSLKGLNCMEHRGGCGGDSDSGDGAGILCSIPWEFLDRELNLNTESYEKRGLGMIFMPNNELKVKESKLICDEEAKELNFKQSFWRNVPIKNETLGILAKANAPFINQWIVCLEKDDSRDIEMLLFQLRKRIEKRIRDNTKNAIGECEFYFASLSSKTVVYKGMVRSEVLSEFYEDLKKEDFKVSFSVYHRRFSTNTLPKWPLAQPMRFLGHNGEINTLLGNINWAKASEIHIDDYWGELSRDIKPIVDKNKSDSSNLDATLEINIRSGKPITDSLLKLVPEAFRDQPELESREDIKAFYEYSATLQEAWDGPALLVFADGNYVGATLDRNGLRPARYSITNDGFVIMGSETGVVDIEENRVIEKGRLGPGQMLAVDLSQNKILRNWEVKAEAAKRKNYKKLIQKRTIKLKNNEWSNTCNLKDFELLQQQTAFGFSSEDNDLILDSMASLSKEPTYCMGDDIPLAVLSSKPHILYDYFKQRFAQVTNPPIDPLREKLVMSLEMHLGERCSPFEFNGIKPFIHLKSPIINEKELISLKESEIKSKTISSLFDIEERIKGFEAKLDDICKVSEKAIKEGCSLIIISDKGVSSKQSFIPPLLAVGAIHHYLLKKEIRLKASLIIETGQCWSTHHLACLIGYGVSAVCPWLTLESGRHWLQHPKTQKLIATKKINPLSIDDVQENIKKALEDGLRKILSKIGISLLSSYHGAQIFEAVGLGSDLIKIAFDGTTSRIAGITLKELANESLLIHTKAFPEIDLKKLEFLGFVQFRNNGEYHSNNPEMSKVLHSALKQGPGYDHFETYKTLIRNRPVTSLRDLLSINSTRKSIPIDEVESVESICKRFCTGGMSLGALSREAHEVLAVAMNRIGGKSNSGEGGEDPARFNVLNDIDENTQSAILPSIKGLENGDTACSAIKQIASGRFGVTPEYLRSGKQLEIKMAQGAKPGEGGQLPGPKVDSYIAKLRNSKPGVALISPPPHHDIYSIEDLAQLIHDLHQVHPRAKVSVKLVSEIGIGTIAAGVSKANADVIQISGHDGGTGASPLSSIKHAGLPWELGVAEVHKSLMENNLRGRVLLRTDGGLKTGWDVVIAAILGAEEFGFGSVAMIAEGCIMARVCHTNKCPVGVATQKEELRKRFKGLPENVVNFFLYIAEEIRQIMSSIGVSNMEELIGNQEFLTARDIKLPKTANIDLSSLIKKGTQYKDRSWLKHSKTAHTNGYVLEDQFLSDNEFMNSIKNHGKVIKEIEIKNTDRSVCAKISGEIAGLYGNNGFNGELNLNFKGYAGQSFGAFLLKGMHIQLIGEANDYVCKGMNGGVLTIVPPQVDEKSSEQVILGNTCLYGATGGKLFALGKSGERFAVRNSGATAVTEGSGDHCCEYMTGGKIVILGSTGRNIGAGMTGGIAYILDENNDLENKVNKEIVSIHKITSLKQEEILLGILGEYLEKTKSLKASKIINNWSNFKGIFKIVVPPSEEETLGI
+MIEKKGDNIRSENFYPDSNYYLDQDNTPEETTLPEDQIFNTKKFEWPNSYWFIAERTNGRLAMIGFMAVIINYTLFGWIAYPIL,VHKNKILVPLSNNSYEVIIKQGLINNIGEELIRIGINSNRKILIVSNKEISTLFGRKLLNNLKKNNFNAEIFNIKAGESHKNFASLSEIFNAAFEVGLDRNSLLIALGGGIVGDVTGFAAATWLRGIEYIQIPTTLLSMVDSSVGGKTAVNHPKGKNLIGAFYQPKAVFIDPETLITLPTREFKAGMAEVIKYGVIKDKSLFEYLENEKNRDKILNLENESLIKIINKSIKTKACIVSEDEKENGIRAILNYGHSFGHVIENLCGYGEYLHGEAISIGMKIAGDIATEKNLWSKEHSLRQDHLIESYGLPIQTPKIKKNDVMKILMGDKKVRNGKMRFILPIELGEVDIFNDINESQFLKYFN
+MLKNDLWINQKASKGMINPFQSNLVRHLDPNNKKNAVLSYGCSSYGYDLRLSSKEFLIFKHVPGTVMNPKKFNPDNLEKTILHEDKDGEFFILPAHSYGLGVALEKMKVPENITVICIGKSTYARLGIIVNTTPAEAGWEGHLTLEFSNSSGADCRIYANEGICQLLFFEGDPCSTTYEDRKGKYQNQPEKVTLAKI,MKKTKVICIGEALIDRIKNKSNQEFTDFLGGAPANVACALRKLQIDSVFIGRIGSDEFGKKFINQFKELEVNINFLQLDDCLPTRIVKVNRDNSGDRYFSGFDTSLNTFFADEAFDKNEIKKDLKSLENLFSKTKYLVCGTIILSSSISADTINFLLSLANKFDVKIIIDLNWREVFWDFATSSSETNKKERVDLIRNLLNKAHILKLAKEEAILFFENKNPLEISERLLNRPDVIITDGANPICWLINGVQGTTEVSKSLKIIDTTGAGDAFLAGLISQLLSFDYPSNESEIQNCVKFASICGLLTCLGEGAIEQQPDYSKVNKFFGSQIL
+MVSVPFSNNGSNKNFKKDFNNENAGLVPPQNIQAEEAVLGGILLDPDAIGRIADLIKPEAFYINAHQEIYKTALMLHTQGKPTDLTSMSAWLADNGSLEKIGGNSKLVELVENVSSTASIEQVANLISDKFIRRQLIRSGNEVVQLGFDQTQETNEVLDKAEQKIFEISQEKPTKGLTQAAEILTSTFNEIESRSLGTSVAGIPVNFYDLDAMTQGFQRSDLIIVAGRPSMGKTSMVLNLAKNVAQSQDLPVCVFSLEMSKEQLTYRLLSMEVGIESGRLRTGRLQQEEWPLLGEGINSLGQLPIFIDDKPNLSVLEMRSLCRRLIAEQKKELGLIVIDYLQLMEGTTPDNRVQELSRITRGLKSMARELKVPVVALSQLSRGVESRTNKRPMLSDLRESGSIEQDADLVLMIYRDEYYNPETEDRGITEIIVTKHRNGPVGTVKLLFEPQFTRFRNLAN,VELMGQFFSNVARYPKYLISIIAGGLVALLEPLFKNRSNPLTLVGLISSVISAFITFYFVLKAMTNPINL
+MSFSKLVEIKNNFKFDANNSCKNLYKGACVKIKNSQKTFQVVGINPQSKVCWIREWPFALEVNKTFSLELNQITLQTYCSDTFNEK,MAENFSFDVVSDFDRQELVNALDQVKREISQRYDLKGTDTSLDLEKDNIFITTNSELTLNSVIDIIRQKAIKRKLSIKIFDFNSIEVVSGNKVKQTITLKKGLNQEIAKKISKNIRDEIKKINVSINGETLRVMSKSKNDLQLAIKLLENLEETYKIPLQTNNYR
+MNKRHSLQRKTTLKWNSNGDLSEIDMLRILDRISAYELNQCELTCDLDE,MASQDYLIAIALIEQNNIRAMPLGGKEIKEKLEEEGNLIKLGEEVILNLLLRVFQRSDEGALKRVSEDKGLLLVHMHPKRMQKELPFIKSEWIRDGDTTQFLKYLGNLSKEIWTASLIKYKGLELVSIAKNEDI
+MVEKFKTLFFVKSSLISLYLALTCPIPFISSEKLKIFSIITFFFGLLLIINITNDYVDTCDKKISYKTSFISKIFGKKNWEIFWKDIKLIKSLPTSQGSNIHYFISNKNESFLVPQRVENFERFVSIIEEKTKLNIDKLSYISPLWTYKLLTYMSILMIIGELIAFII,MSSNKICLNCGSSDLVSDRSLGGRMVCFKCGSSSFKNNSFSRIQNKKIIYLLIVLVILLIVVL
+LTNSIKGRNSKEVTIQLKRAETQKNILIKNIYKEYETYFDIVRKSMLISAKKGIAGIYSDFSISDKALHSKELNIFLNKNISLLINSKLPFITIEQLKLGDISYPTKQLVNASVLKELVKRKEYQTVHIDHENEKTANESIEFHCDNNLNTYEYYESLSEDEISSVNLDESCYLNSFSKEISIENIEEGKRLVNAFLELIEETSDNKLIDYEKINDQAPDVFISSDNLNTFEFIDKSFSNFLLNLSYNINLELFKIELIKKIITEETFKCLSNNNSIIKHPYPFVIRYDLYPDNLYPRKNKSSDVYLFNITNVELELYNLDLSICRNNINDLKNRFKLLNKKQRYWKNKELASNSSK,MTDILVLILFVLSGAASGWLGVDLLPIDILKQVSNVEGFRIVLAIIGFFIGLAAGFVFLQLRKTFLDQIRTMPTDLLISRAVGLILGLLVANLLLAPILLIPFPREVFFAKPLAAILSNFFFGALGYKLADTHGRTLLRLFNPTNTDAYLVNEGIIPAASPKILDTSVIIDGRINGLLSCGLLEGQLIVAQSVIDELQTLADSSSNEKRGKGRRGLKLLKELRELYGRRLVINPTKYEGNGVDEKLLRITEDMAGTLITADYNLSQIAEVKELKVMNLSDLVIALRPEVQPGESLNIKIVREGKEKLQGIGYLDDGTMVVIDDAKKFVGERLDIVITGALQSPTGRMVFGKLINNPESNKSFKSPATQG
+VHLDKSSSEIINKFKLSPHPEGGWFREIIRSKNHVTRNDGQKRNNITSIYYLLCKSERSKWHRVNSSDEIWIYLQGAPLNLYFLDDNKELRNIRLDLNNPIEMIPSGYWQAASSTGEFTLTSCCVGPGFDFNDFQMLRNIDPSLRPAKAIKELI,MFFWYRVLSLWPLRRRIINLERFRGLHDDYSKSSTSLNAIRELNDTCNVNLLCTPYVAYIPNSDYWRPNQARDLYKLHLKKSSKKLKIKFIDGSTVIDTKDIKNYAPLGPHLSKLGYQKFAELLSSHLSKKK
+MSKVEIYTWRFCPFCIRAKSLLEKKNITFTEHKIDGDDNARELMMERANGKRTVPQIFIDDKSIGGCDELYELEKEDKLDLLLN,LTIYLGFLYLFFGIIFLLMPLIYIELGRPRDFIKGGLNLVIGMLLIYKQNIFNTLNYLIFSVITTLLTFYIVEIFSIRWNQLTNQEKNNLLTLEELKKNLSIFLKAISLARQDFLNSNNIFKFGRKNENLNKKKWVRNDENDNIVNSNKNNLLTLEMPKKATNKSTKDTINEGK
+MKLSLLSAVLFLFTEISFAQEKLNYTVTSDSQIQSIKGNFEAIGNVIIKSTNNNFEASSNKLTYDKDAKTLKLVGNVFVKNLESEGLSIQKSYGDELTIFTDSGLFKFNSENKNRVKTKLKF,MKNLKSNKRKIHRKVAAISSIPLLITLISGTIYSFLQPLGVDAFWLIKWHTGNFGIINLQPFYSIFLGIASIISVISGIRLLQKNS
+MVCVSNNKSYLKSQHLKIIGQKTLRGKVKISGAKNSALVLLAASLLTDEKIILDNVPLLTDIEKMGNILKNLGVKLHNKDHQLIIDSKNISIQELPYELVNGLRASFFCIGALLTRFGEASIPLPGGCNIGERPINEHINGLRALGAEIIIDRDVVKAKLVKKKTKLFGANIRLNCPSVGATETLIMAASLAEGRTVIENAAREPEIQDLCQMLNKMGAKIYDSGKEKIIIDGVHKLHGCTHKVIPDRIEAGTFLIAAAATSSSITVSPVIPNHLEAVLNKLEESGSKIIIKGNSISIKGNNIKAVDIKTAPFPGFPTDLQAPFMALMTIAKGRSKITETIFENRMNHVDLLNQMGSSITLKNNIAHINGVKKLRGMTLVGSDLRSSAALIIAALTSKSVSYVYGLEHLDRGYENFEQKLSKLGIEIKRQITKQTINKSKNRSSNSKLKEVSEIRAA,LELVDNINPGLVNNLLKMKSKIKQTFKLILFIFLTNTHFLQAHNLFNGGCKNHCKESVKPLIMNKELNNSSYKNQIEDDDSCLIKSLCRG
+LIFIMIQFASFAIGGFVPSAAIAGVLVLIGLGAFFYLGLKGPTDY,MYSLEISLRYSPFPLSIQKKEYEDIKRIYDEIKDSMNSDNQNSPLIELSCEKVQDKLITVLAKEVISVQIYEKSAVAGGSKRPGFSLDI
+MSGIKTKNNTQKLSFRLAPYLFIAVAIFTAFGTNGGTWV,MRNSWIQPRIGQKNITQMNFAKNGHITEEMNYVAKKENLPPSLIMEEVARGRLIIPANVNHVNLEPMAIGIASKCKVNANIGASPNASDINEEVEKLKLAVKYGADTVMDLSTGGVNLDEVRQAIIKESSVPIGTVPVYQALESAHGSIERLTEDDFLHIIEKHCQQGVDYQTIHAGLLIEHLPKVKGRITGIVSRGGGILAQWMLHHFKQNPLYTRFDDICEIFKKYDCTFSLGDSLRPGCLHDASDDAQLAELKTLGELTRRAWTHNVQVMVEGPGHVPMDQIEFNVRKQMEECSEAPFYVLGPLVTDISPGYDHISSAIGAAMAGWYGTAMLCYVTPKEHLGLPNAEDVREGLIAYKIAAHAADIARHRAGARDRDDELSHARYNFDWNKQFELSLDPERAKQYHDETLPEEIFKKAEFCSMCGPNHCPMNSKISDETLDELNNKLTKCDTSV
+MKSPVLKNPNQDWHPNIWPPFTQIINSKPQLEVTHGKNALIYTKNPKQELIDGISSWWVTLHGHSNDYIADAIYHQAKTLEQVIFADFLHPQAQILSERLSGLTKLERLFFSDNGSTAVEVALKIAYQSWQNQGETRNQIIAFDGAYHGDTFGAMALGERNIFNENFDNLMFPVKRAPWPSTWINDEEVERKENNAIQILTKLLKKPTVAVILEPLVQGAGGMNMVRPEFIRRVSEVVKNNNSLLIADEVLTGFGRCGSLFAFQKANIIPDLISISKGLTGGFLPMGITLAKETIFQSFISDSPKKTFWHGHSFTANPLGCAAANASLDLLEKDPIKYLSFEEKHLSHLKKIKKLPFVKNIRVTGTIAAFDIEIGKNEGYLNNVGKRIKALSIKKGLFIRPLGNVIYLLPPLCITDRQLEKSYRIIFEILSDL,MKSLLNTHTKFEIMHIVLRNFKFLIFLFLLSLNLSGYSNAHMRGTFLSEEDARNRSLELGCEGIHKNQDKWMPCKNEKELHKFLNKKGSSRGNNLASSLAWIFILSSSFGILWLSIVKIKRK
+MNNAKNLKIKQIDKKNISFKELSLIKNIIFWVDIIPGDQTQKNAIFARPFHDKNAIPQKLTGDNFYIKSNFHGYGGKSYQCIEVNDHIYLIWVDQLSKAMWLKIFKVQEKVLKNDNQYLLCDVEPRQLTESIKTNFDTSFVISKNNLLFGLCEIKHRDYLFSLNLKKTKQDIRIIKKFDNFAGNLSSNISADLFSWIEWNAGSMPWERNELFFAMIDNDGEIQNIKNFSNKFVNEEKNVSFFQPYWMSDTTLVCSEDSTGWWNLLFLDLTDIKNIILKKRIIKPLTEYGSPQWVSGISFFSGNIKNLFCVAKKDNSWVLEHYQNCECIKELKLPFCSIGDLDVCDQKLVIRGCSFGCFEELFECDFGEKSHTKLLNEISLESINEYSRPESFWFKGFNNQPTHSFIYKPLFERFIKSPLIVKAHSGPTACFDGSLNSEVQHWTSKGFTVAEVNYGGSSGFGREYRERLNYKWGILDSYDCKALVLDLIRLNLVDRTKVAILGNSAGGLTAINALCEGDLFKVAICKYPVLDLNDMHQHTHRFEKGYLNSLIGRYSKFHNEYKLRSPIYKINHLKKPVLLFHGKKDLVISCKKTLQIKEKLLKNNKNSEVIIFENEGHGFKNTNNKKQVLIKTQEFLEKTLNI,LSRILLLSNGHGEDLSGSLLAKYFVKKGDLVDALPIVGDGENYKKENIRIIGKTKKFRTGGIGYNSFSGRIFEIFGGQIIYFFKKLYLSYKLKNKYDFYLVIGDIVPVFFAWFAKKDFFTYLVAYSSHYEGKLKLPWPCKFFLISKYAKKIYARDFLTADDLSQQLRKKVSFLGNPFMDKFSFFENKPKIVPFNIGLFPGSRFPELLDNLKLILEVLETMSKLQYFENIAFKFAIVKALSMEEIRQILNQRKWIYIEKKGKNDGLEFTFGFITINLNWNLFEEILFESNFVISMAGTASEQAIGLAKPVIQIEGNGPQFTKSFAEAQRRLLGRYVFCSTNYINKKDQINQTINLILKVIYLIKLDKKFLVSCLDNANLRIGESNSCLKIINDIKGFHEK
+MMIPISLQKNQNRHIIKSVRKFIDRFFKIKKNQNLNMTEQRKIEKFGVGNLYPDIHPPEFSFFKEKCIDVALGYDDGFTFTPKFGNFKETEDIFDYLKQYLEDKELEKLDIRFDTLKTCIYQINPETLELGELLECEGSDVEYFEWNKKTKSIDEVDSNSLSDEEEEYFH,MIKIFALTFSEIGIGKLEIFVIGIVSLLFPILFIIASRNLDAKGVFDWMMEKPNDWIGKK
+VFDISKENFFKNLIKFPKKNIFMILLFLGFGEWFLSDLINFAGGSIGFFILCFGGYFYLKSEKPKFNEPKDLDGWIKLCNEDLDFFEEIELHNNLEKQNINRKKALELILNREKKEEIYCIGQKNFDSNATLFKNYFKEDKFKLNFMERLPKYNSSEIVPEVILNSDAILYFLKLPLSANDFLWLEKLPKNMPIWLVASFTKGLSFNNEIEEVKAQISGEYANRIIKFDKTKNSFANIPFSLRKFFISSNNNIENTKKRLLKRLHTNWQSEIEGIRRMQLNDLQRRNQIIVATSVFFSPIPSIDVLSMTVLNSLMIKEIKSIWGCNWSPEILDKVSKQIIKTAIAQGVIEWSGQTLIGLTKLHGPNWLVTGAFQAISAAYLTRVVSSSLADFMALTKGVSEPDLEFIKENSDKIVERAFENEKINWKSLIPELNIPLTRLT,MIKNTKKSQKNKILTLEDVSISYGTFEAVRNVFCNFKSGDITSLIGPSGCGKSTVLRALNRMNDLIPNCSLRGTVLFDGTNIYDKRVDPVEVRRRIGMVFQQPNPFPKSIYENIAFGARINGFVGDMDELVESSLRKAAVWSECKDKLNDSGYSLSGGQQQRLCIARTIAIEPEIILMDEPCSALDPISTLKIEETMHELKKNYTIIIVTHNMQQALRVSDMTAFFNAVEYEEGDGGKVGYLAEFDSTKKIFSSPKEKTTQEYISGKFG
+MWIRFHEKNGSERLNFTAFYEALLEAKGVNLGDTGVAGIGKGGRKLSYIATVQGNGNLLIGKAYTALLDLKAGDEFEIKLGRKQIRLLPSE,MTISDKIRVYELSRDLKLENKDILDAAQKLSISVKSHSSSISLEDAKKIKNLINKNSSKKILSVSKSAIKAKNENPKNNDNKNNKNFSNPSHPEKLSKEGLNKKPLLIKPTNKVVNSLVSSNIKNPNPPTIVSNLKSQALSKNQNKTNTSVITTPNLKDKKNPSALQDKKPLKNSSGSPAKTTARPPIQLIEKPKNLANSNRNINANKINNSVNQKAQSLNRADNNKLSRADNNNFPKKNLNSPNVKSTPELVGAPIRREDPKINTNRPNSNSRQPSSNTQISANRPGGQNRQGVPNREGGPYRQGSPNRPGTPYRQGAPNRPGGQNRQGVPNREGGGPYRQGSPNRPGTPNRPGTPYRQGAPNRPGGQNRQGVPNREGGGPYRQGSPNRPGTPYRQGASGIRKPVAPNELMQLQKTNASNKEKPNISNVNKQKIEGANQKTKAPNSRLNTSPSPTAKKPARSFASNTKKPGRTDWDDSAKLEALRNKNPQKQRQKVHIIGENDDSLTSETSGYSGEKVSILSASLARPKKEKSEEIKSQKPSKQFKKKKKETTRQRQKRRAMELRAAKDAKQVRPEMIIIPEDNLTVQELADKLSLESSEIIKSLFFKGITATVTQSLDLATIETVAEEFGVPVLQDDVQEAAKKTVDMIETDDIESLIKRPPVITVMGHVDHGKTSLLDSIRESRVASGEAGGITQHIGAYQVEFEHESKKKKLTFLDTPGHEAFTAMRARGTKVTDVAVLVVAADDGCRPQTLEAISHARAAKVPIVVAINKIDKEGASPDRVKQELSEKDLIAEDWGGDVVMVPVSAIKKQNIDKLLEMILLVSEVEDLQANPERLAKGTVIEAHLDKAKGPVATLLVQNGTLKAGDVLAAGSVLGKIRAMVDEHGNRIKEAGPSCPVEALGFSEVPTAGDEFEVYRDEKSARAIVGDRATDARATKLAQQMASRRVSLSSLSTQANDGELKELNLILKADVQGSVEAILGSLEQLPKNEVQVRVLLSAPGEITETDIDLAAASGSVIIGFNTSLASGAKRAADANDVDIREYEVIYKLLEDIQSAMEGLLEPDLVEESLGQAEVRATFAVGKGAIAGCYIQSGKLQRNCSLRVLRSDKVIFEGNLDSLKRSKDDVKEVNTGFECGVGCDKFSTWSEGDIISAFKFVTKKRTLNK
+MNKTITPSIETIERNWFLVDAKDKTLGRLSTEIAAVLRGKNKPTFTPHLDTGDFVIVVNAEKVEVTGKKASQKLYRRHSGRPGGMKVEKFESLQERIPERIIEQAVKGMLPHNSLGRQQFKKLKVYKGSDHPHAAQNPVLLNS,MKIILLVFFFIMFSFIFLKFYKYKKAFKKDKSIKFNKSNLYNWMNLTKKERFDLSKKESNSYLKKRKTLLEEIRKEYKIISKND
+MTELNQKNSGKNIKWHNLTIDRNKLEKMRGHKGMVIWFTGLSGSGKSTLANAVNEVLHLDGFSTYVLDGDNIRHGLCKDLGFSDEDREENIRRIGEVANLFMNAGIITITAFVSPFISDRDKVRKIIGSKDFIEVHCAADIEVCESRDTKGLYKKARLGEIKEFTGISSPYEAPVNPEIVVDTGSLGLNDSVEKVINHLREQNLLERS,MESDNLFSNTYRIESNAPLADKLRPKNLDDFFGQESILGHDSLLRNAILNDKVGNIIFSGPPGVGKTTLIEIISSNTRSSLIKLNAVLSSIKELRTEIANAKERLRSSNRKTILFIDEVHRFTSVQQDALLPSIENGTITFIGATTENPFFAVNKALISRARIFSLLPLNKNDLKKIIDKVIKYYSCLKDSKVVEIKEEAINHLIKFSGGDARNLINALELGISITKENKENLVVIDLAIAEDSIQKKNIVYDKNGQNHFDVISAFIKSIRGSDPDATLYWLANMVEAGEDPNFIFRRLLISACEDIGLADPNAIVVVQSCCDAFDRVGFPEGLFFLSQASLYLAISPKSNSTKSIFKALEAIKATNVSLVPNHLKNNASNYLNPHNYQGKWLQQEYLPTDLQGIKFWKPKDSGWEKNKYEDLPKKQKS
+MSASKREEVSSHLRYIRLELREMHQMLIRDDLLPDLSEAKEVHAQLDALYELLSDKRKKKVKNEFENF,MEAFHPPKEVKETIDDSGLPKEEGISEKWLREKIDSLIPLIQEKWPNIAQQTLETAKGSIDDLVGVIASHTGSSASGIKNQLFQIIDSIQENNWEIADKIEPIESQLEELLDELNSTLRPKIETPIRKKPILSIAIAAGIGLFIGSLINSRNK
+LNYWIQNLAPDGSPDEIGVIQLAWLGDSVWELHQRLRHIHIPLKSRDLHLSVVNEVKAQAQSKALDEIEHLLNSFEINLIRRARNKTKRFPKSSDPAIYSRATGFEALVGWLFLKDPKRLSKFFEYLECK,VTQIDSKKKFDRLRLCKLLETIYKEHTTEELNLICNQLLQILDNFSEKSRYEEISEDKKWDESFAVLITYADGVYKKGETTLVTLRELLSKNFGSLSKVVHILPFLKSTSDGGFAVSSHTSLEEKFGSWEDLKSISNKHYLMADLVLNHVSSSHPWVQQFIKCQEPGLSNVFSPSQDLDWKNVIRPRSSSLFSQINTDDGQKQVWTTFGPDQIDLNWLNPKMTIEFLNLIITYLSNGIKWLRLDAVGFIWKEPGTTCLHLSKAHSIVKILRILLNDLLKDGVLITETNVPQKENLSYLLPEDEADMAYNFPLPPLLLEAIISSRADILNAWICDWPELPKTTTLFNFTASHDGVGLRALEGLMNEQRIKDLLINCEKRGGLVSHRRLSNGEDKPYELNISWWSAMEDPGRDSNRYQYERFLLTQLLVMSLKGVPAFYLPALLASENDIKSFSMTGQRRDLNREKFKSEKLAAVFNNPESNANKNLKYLRHAMDVRAKLPQFHPQSHMECLSKNRADIVALKRGIGSKAVFTIHNMTENKINYRFIDYEFNKLIKNDLNMQDYLTSNKYNSNNIELDPFQVIWLGF
+MTSSKPKKSSRVRKTTKNSKKNHNTMMPLLPKTPPSFKNKVVDKKALKNLVSWAYKTHGTAVTAAMADNLKDLGFKYATQAAVSISVNDLKVPEAKQDLIGQAEAQITATEECYRLGEITEVERHTKVIDTWTETNERLVDAVKNNFNQNDPLNSVWMMANSGARGNMSQVRQLVGMRGLMANPQGEIIDLPIRTNFREGLTVTEYVISSYGARKGLVDTALRTADSGYLTRRLVDVAQDVIVREEDCGTERSIVINSEDGKFGSRLIGRLSAEDILDSEGNLIVPKNTAIDPSLSKTLETSLISKVNIRSPLTCEANRSVCRKCYGWALAHNHLVDLGEAVGIIAAQSIGEPGTQLTMRTFHTGGVSTAESGVVRSKIKGKVEFGSKAKIRGYRTPHGVEAKQAEVDFLLKIIPTGSITNKAQKIEVTSGSLLFVEDGQDIDSDITVAQITSGAVKKSVEKATKDVICDLAGEVRYDKVIQPKEVTDRQGNITLKAQRLGRLWVLAGDVYNLPPNAKPVVSTETKVEQGTVLAEASQSSEFGGEVRLRESVGDSREVQIVTTSMLLSNFKLIEESTHSGELFHLESNDGTIYRLNTSPGSKISSGEVIADLADERFRTKTGGLVKYAPGLSVKKARSSKNGFEVSQGGTLLWIPQETHEINKDISLLMTEDMEWIEAGTEVVKDIFSQTSGIVTVTQKNDILREITVRNGSFHECEDEEILSRFTEEGKLVNPGEKIIDGVDNDEILFVQKLETSKGKGLLLRTVEEYTIPNEAELPELSHVKQEKGPSLALKAIQRLSYKDGELIKSVEGVELLKTNLSIESFDATPQMTIDVETIQDKSDKSINRLNLVILESILVRRDTISDSSHGSTHTELQINNNQLVKAGDVIATTQILCKERGVLQLPDSVEGEPIRRLIVERNEDKIKINIKDKAVVKTGDRVVDGDLISKGVKSTSCGEIEEVSSEYVILRIGRPYMVSPDSVLHVKDGDLVLRGDGLALLVFERQKTGDIVQGLPRIEELLEARRPRDSSILCKKSGVVQIKEGTDEESVSLSVIERDDSISEYQLLMGQNIMVSDGQQVTGGELLTDGPINPHDLLDCLFTDLKDQKPLMEAAQESISKLQRKMVNEVQNVYKSQGVAISDKHIEVIVRQMTSKVRIEDAGDTTLLPGELIELRQVEDTNQAMSITGGAPAEFTPVLLGITKASLNTDSFISAASFQETTRVLTEAAIEGKSDWLRGLKENVIIGRLIPAGTGFSGFVEELASEAGPHPDILAEESGGYRRTQNLRPDYTVDMPQTPIVSSTAILDDPSDEDLETTRNRHGIDPTSSNFAAFARPNAENQFSEDQLPDPAALEGLQEEGLLSDG,MQNPAEKKSSILKDFKNLFIWIIIALIIRWQVIEPRWIPSGSMLPTLQIQDKILVEKLTPKITSKSNLSKLKNKIIVFNVPEQLIDAGYESDIALIKRVIGVPGDKVEVKEGNLYLNDIAQNNYISDKNINYSTGPYYVPEKSLWVMGDNRNNSMDSHIWGFLPYEKVIGKAIFRYWPLNNIGPIRFPSLNNLG
+MEDWQEWEYFDYHGELRSKRTKICITCTHFRYSTTDQCVTILTCPFHQKLIPQGDHLVKGCTYWRKDSRIFAPEAA,VRFHIQQEIDIPASTQLYNQICFAIAARYYPPGHRLPSTRQLAMQTGLHRNTISKVYRQLETDGVVEAIAGSGIYVRDNLKKSFNSKNNLNTTPALETKKAVDKLIKLGCTLQETRNLLTNEIDWRIKCGSRIIVSTPREDIGASMLIAEDLSPNINVPVEVIPMEELEKVLCNSNNGTIVTSRYFLQPLEKLAKQYRVRAIAVDLSDFQKELKIIKELKPGSCVGIVSISPGLLRAAEIIIHSMRGSDIVIMTTISDNSNRLLALLKASNHIVCDGPSLSVIENTLLKNRSQLMRVPQIICAKNYLSIKTINHLKTEIGVIN
+MKVIVIDDDPTGSQTVNNCLLLLKWDYSTLIKGFQSKSNLFFILANTRSLSENDAKLRLVEICNALKKVISKESYKEEFIFVSRGDSTLRGHNFLEPKIMNDCLGPFDATFHIPAFIEGKRKTIDGEHFVDNVPVSQTIFAKDKIFGYKTSNVKQLLFQKCKSQIKFNDIQNLKISELKVLESKEKNIVFNKIRNLKENSHVIVDIENYSQLQKFSLSIKKLSKQKKFLFRTAASFISSISAVKDNPKEPFFYSLIRRKNREKKFLPGFLVIGSYIELTTMQLKEFLEISDCIPIELDVFEFLKISKLKSNQDQLEVFKNKLLAQIRSILKQENTPVLFTSRKEVSLARNDEQVNFNNSLAHFISELVSDLKNEIGYLVSKGGITSNVILSNGFKANYVYLQGQIITGVSLVTFKLENDENLPIVTFPGNIGNQDSLVKVWRILENKNNSSN,MRILHTMLRVGDLDKSIDFYVNILGMNLIRRKDYPHGEFTLAFVGYGSEKDNAVIELTHNWSKKSEDYELGNKYGHIAIGVKDIYDICQGLEDNGCNVTTKPKTMKNSTTVLAFVEDPDGYKIELIERD
+MANNFYQWWKNHRRVVTFGGFLILLGLYVSPVIKEAKYKNMCIKLSEKGALNKLNGDNIGETLLKDTGLSIEELAKIEGYRNCF,MNDLNIEFPLDDFEELISQIGWSSLDEWFIFWNLKKEMLSINNFWDDNVKDDWIWGLALPLLSQAYKLNKKSPDRKIIGISALPGTGKTTLGKWLESISLKLKFKLSVISIDDFYLPSEEMEFAIKNNPWNVSRGFPGSHSIDLMKEKLLKWKTDGQLNVPVFDKSLRKGLGDRAHWREESPDLLIIEGWFLGVKPLSIDLDNSEKFSPPLSVFESSYRNKIQNNLDQYLDIWNMIDQIWHLKPLKFEYLNEWKSNQEKSMHFKSGSSLKGDNLSNFLRMLNVSIPHKSFDDINSDVLLMINQERKLVRVGLNQQISK
+MKLNQFLKWHNIVSSGGEAKILINSGQIKVNGEIEKKRGRKLVKGDKVMFLKSELIFE,MKPQLTLQTPLELPHQEISNYLNQLWISEDEESVGANTFTLMVWQPAWLEQCLVKSGLISGPITGTLSPEIIKVAKKLIIDKGLSHTTSIHSEELLTLLKENLLNKDYEDLRGQFFESSISTLNPRRLITLAPTLNKESEIKTFVSAYCPLSDNTITQPICGDLVVIRGDSNSINNKGLKIIDDLSIKDLPIWLWWNGSLDESQEIFNFFTDQGIRLIIDSANGSPKRCLKILYQSIKSNKAINDLNWVRLKSWRESLAMIFDPPSRRPILEHISDIDIDIAEGNFLQALLLISWISDKLEWVFSKINKHGDLIKIEFKRKNGENILTCINPVPLGNPSIHSGQVIGLRLISKISEVRKNNTCVILGCESVECMRLEAGGMADMQLIEQVVPNSFSSSESDVSKLLGSSRGNTSPLFENAIKVAVQIFNGFNK
+MKDKQEKIRMFLPFSWVICAVISFAYINSHLINT,MEFNIQDKVKLKNPLSYLKTSDNMPMLRPPDLVAIDEVGEIIAIKSPDTVEIKFRRGSFLIDTDKIEKTQI
+MKYLILGSGSFAGQLIFSEYLERNYDVYGFNRSRVKDHYQWPWIKKYKNDLGNRWFEYNLTNDVEEMISHINRLKPNFIIDFMGQGMVAPSWLKPEVWYTTNIAIKSRLMNALIDSSFLQKYIRIGTPEVFGSNENFLKEDECFNPSTPYAVSHAAIDFNLRCLYKQYNFPYLIGRFANFYGVGQQLYRIIPRLFLSCRSERNFILDGKGESRRSFIFSKDIVSAIDSMIKFDGIGQEFNFSSNEEISIMSLVNKICNLTNVDKSRILKFGPERPGKDRYYRLDIKKSKNVLNWEPEVSLDEGLNIINIWISENIENLSNKSWTYEYKD,VTQRHFFVTTSSSSAAEKTLKTKIWKRVFIVCMILLISGSFFYFNHEENNTYILKTLELNGSVKEGDTLFKMNCVGCHGITARGLVGPDLQSITMRLNDAEIIKQVIEGVTPPMPSFEIDPQNMSNLLTYLHSL
+VENDEIKYKKDIPIEWLKMPSSAKEAEKLNIKKYFIGDKRFMRELEDRDEYNAA,VILKTIKISNKLCLIGIIVFCLFQNHSVSASREPLIRVLISKNRNLRIRSDKSIPLIIKGQKFSNKKIKGLTVKKENNTTSLFFDKNKQKIYDLKNKVKLVVKSSDGRGIWVGQKRYSGILNLLVLESEILVINILGIEKYLSSVVGSEMPAKWPLEALKAQAIASRTYALKQKGNQIYDIDSTQKNQVYNGLESRTYKTIRAVRSTRSLVLTYKNKLINALFHSSSGGMTENSQDVWKNEYPYLSSVRDFDRNNPKLQWKKKFSSGELQKLFPEIGGIKKIEILNITNTGRVKNVQIFGKYGSDQISGVDIRKRMNLKSTFMRFKFIEDKKYISDNDNSNNPIEKTLIVFGRGSGHGVGMSQWGARYMASKGQKADRILKHFYKGVGIKPFSKNYL
+MSIETTVLDFKLSNTFEEYQAHMNAPEQQAMFKEMGVKTFYIGKSLEDPKRATVMFQGPVNTCYDIFVNPETKPIVEASGHIYEGTIINRWIS,MMFNKQKKLILNLKILKLLFFSPLLISIPFYLGNSDAKAGLEFQWDQDSGYRRLKWFQKENKKRFRNTIFFFLRPSDRQANLLKITLNIPKTFDSTLKDKVSFCKVKIGGFEGRTKCIEDIPADVDINEDNSSLDIYPYSPIPSNKDSYAIVFKKISNPKKSGLKQFHSYGQYAQKNTSSRYLGSWTIVID
+MNFITNSRQFHKSLAPWVFLPLFISALTGTFYRICKDLLGYSRDEVHWLMSLHEGEWLGDNGELIYVILNSLGLIWMLITGFQMFSKKISFPKKVTKGESKG,MASFTVGIVVFPGSNCDRDVSWALEGCLDIKTKFLWHESSDLNDVDSIVLPGGFSYGDYLRCGAIARFSPLINSLHDFIKSGRRVLGICNGFQILTESGFLPGALVANKNLNFICDDVDLNVITSKGGWFQKLNENQNIKLPIAHGEGCYHCDQDTLKRLVDNDLIALKYKTNPNGSTSDIAGITNEKGNVLGLMPHPERACDESIGGIDGLYTLRSLITQ
+MNNSQRSVTHSQNGDYRTIEQTMEKLSGGTRRLAAQLTTSATFNSLWNVLTDYDRLNLYIPNLLSSRKIYKNNNNVHLKQVGAQDFLGMKFSAEVTIDLFEEKELGLLKFSLIKGDFRRFEGSWKIKKIKDTSKNSLIYDLTVQGCQWMPIGMIEKRLKKDLSENLIAVDKQAKASIK,VILNPELQEKGEIKDLMKSRGSFRAFPLAAITGHSLLKLSLLLAAVDPSLGGVIIAGGRGTGKSILARGLHTLLPPIEVLDNESILEKLTMSNSNTSLRPIGRNLDPDKAEEWDISTNKLLEEVIGSDYLNQIEEIPKKVREAPFIQVPIGITEDRLVGSIDVAASLSSGEQVFQPGVLAEAHRGVLYVDDINLLDDGIVNLILEATGREQNNIERDGLSLSHPCRSLLIATYNPEEGALRDHVLDRFAIVLSADQSIDNNQRVEITKSVLSHAENNIKFSEKWSEESDNLSTQLILARQWLKDVKITKEQITYLVNEALRGGVEGHRSELFAVKVAKANAALRGDENVNSDDLKVAVRLVILPRATQIPPQDDDIQPPPPQDQSPPPPQSNNEDSEPESNEKEDNQEEEQDNSDGEEDSTPDIPEEFILDPESCMVDPDLLLFSSAKSKAGNSGSRSVILSQSRGRYVRPLIPRGKVKRIAVDATLRAAAPYQKSRRLKNPNKTIIIEENDFRAKLLQKQAGALVIFLVDASGSMALNRMQSAKGAVIRLLTEAYENRDEVALIPFRGNQAEVLLPPTRSITAAKRRLETMPCGGGSPLAHGLTQSAKVAKNALSTGDIGQVIVVGITDGRGNVPLGTSLGQAEVNENENVDLKQEVLDIAAKYPMLGIKLLIIDTERKFIASGFGKELAEAAQGKYVQLPKATDKTIAAMALNAINEF
+MSKDFKSGKVKRLPINNLNLPNFVNNSLRNNTKVNTVEGTNVIRVPFGKRFPKKQRPDKNQNIATLILPINTFINPTPPPHVA,MPSLSDGDFYYYRNFYIDQPPQMAQVFYESLHVISFSLKIIFYFLERLSDVN
+MRHQLRVPLLSKPADQRKALLRALTTQLIREGRITTTKARAKALRNEAERMISLAKEGTLSARRRALGYIYDKKLVHSLFEKAQERYGERNGGYTRIVRTVARKGDNAQMAIIELV,MKDIFLVLDSYQYQMESNYQETSSLTNLFTENKFIGWLGLFIVFFSIFAIIIFQFLEWESNDKNKE
+MNERNKSLWKQAIKWPLYSVAILPVFISGAYTLNSFKNVKIYNLIAFTIAAILILIWENLTNDLFDSETGIDEFKFHSIVNLVRSKTIVSITAYTSLLIGLVVIAIISISTSINVMLLVGACCFLGYLYQGPPFRLGYQGLGEPLCWLAFGPFAYAAALIALNPSDIYMISIPWKESLLLGSGSSLATTLVLFCSHFHQIKEDKEHGKNSPLVLLGAKKGAKIIPWIVFIIYVFQLFLIINGFIPILCVLFLISFPQSLKLINLLKYSYNKPEAIKNCKFIAIKFQTLNGIGLIAGFIINYLIYK,MKIMDNFDDDLSLKQKEFVEPIDKATNKDLFEKKDEFKEATPKVLHLNSLITKNIYLFTKDPNYKLFAWLMVQLFIFSLFVLVATLMKNNLVPYINSL
+LLLMKRLLLAAVLFLLSEISFAKEKLNYTITSDSQVQNGKGNFEAISNVVIKSINNNF,MDEDSRKVTEEVWLICPNSTEVRRFTKNKNNKDKFFEYMFVDSGIIIGVLGAKPPLMKTRKEIKIEAARKEYQQLIISGWQVTIPKW
+LDQFEVKVFIRLRPSVLDPAGEAIKSASSKLGVAGIKSLRIGKLIEVKIESNEEDIKEKIELLCDRLFANTVIEDYEYSINKL,MNLKQITQKDQLDLKKIYFDSIISIDQKIYTSEQKRAWASQAWDNKYFNLTLKEGKGWLINEREKIIAFASRYPNNRISLLYCRGDSQRKGYGTKLLKKIEKEAIKEGLPCLTTEASLISYKLFLKNSWKIIRKEKIIIKNITFERYKMIKNF
+MEQGLNNPGPLTIFLVFTAGLLTSLGPCSLSLLPITIAYVGGTKNNKFKLISFSGGVIFSLITLGALSGFLGKIYGQLPSYYASLVALIAIIMGLNLLGILKFQLPNGPDLQFMEDKVPSIITPFVVGGAFGLASSPCITPVLATLLAWVSQAKNPTISIIFLFFFGLGQVTPLILAGATTENLKQFLELRKYSQVIPTLSGVFLVSLGILNLISNWI,MKENITELWFSWFYKNWEKNAPGNLIDKGLSPSQIAERFVNENHKEFLEIANEFDEDNYQALNEFMKLSESELHILKYFLKLIKLKNS
+MGTANLHDSTNKPLYGERIIEESNIICFENPNKKRIYEISIELPEFTCKCPFSGYPDFAKLNIYYQPNMKVYELKSLKLYINKFRDLKISHEEVVNRIMDDLLKAAVPHWIHLNADFNPRGNVSMKLDIYSGQKRN,VRIIFWGTPEYSVKSLEVLKKSDHDIVAVITQPDKKRSRGNKLISSPVKEYATKENIPVFTPETIKENIQFISILNDLSCDLFIVIAYGKILPKAILDIPKYKSWNAHASLLPRWRGAAPIQWSILEGDKITGVGIMRMEEGLDTGDVLVEKQIKIENNDNLKTLTKKLSDLSSELFLRAISDIEQNKNRDINLLLKKQTDFKRELKYARMINKLDYIINWENSATDIYRKINALYPRANTTYKRKNLKIIKIKILTTHEIHNKNYKILSNVFKPGLIIGLIKNVGIIITTKTDPILLLEAKLEGKKVSSQNQLIQQLNPVIGENFSD
+MAQLETRTEPMVVNFGPHHPSMHGVLRLVVTLDGENVIDCEPVIGYLHRGMEKIAENRTNVMYVPYVSRMDYAAGMFYEAIVVNAPERLANIVVPKRASYIRVLMLELNRIANHLLWLGPFLADVGAQTPFFYIFREREMIYDLWEAATGQRLINNNFFRIGGVACDLPYGWLEKCIDFCDWFAPKIDEYEKLITNNPIFKKRIEGLGTIERDQAINWSLSGPMLRASGVSWDLRKVDSYECYDDFEWEIASEKEGDCYARYRVRVQEMRQSLKIIRQACEMIPGGPTENLEAKRMATEDKKSEIFGMDYQYVAKKVAPTFKIPNGELYTRLESGKGEIGVFIQGNNEVTPWRFKIRAADLNNLQILPHILKGAKIADIMAILGSIDVIMGSVDR,MVRKISFIGVGPGDPDLLTIKALKKIESADVIFWADSLIPEKIINFSLKGSEKIKTSTLTLEKITSIMIERFNEGKTVIRLHDGDPCLYGAVKEQLEILRQENIETEVIPGVSAFQVAAAYHQAELTIPDITQTIILTRAGGRTGMPEKESLKDLAKHKSSLCLYLSARHIKSSQKTLLEFYPPETKVIVGYRVSWDDGWTSLIELKDMEKFTLEKELIRTTIYIVSPAINTIANRSNLYNPSYKHLFRGK
+MLRPPFSQESISIDKWDVIVIGAGAAGLMTCLELPENLNVLLLNRNTSKRSSSRWAQGGIASVVRPEDSFALHVEDTLKAGDDLCDLSAVEMLVKDAPGCVDRLQNLGMIFDQSSDQLSTTLEAAHSCRRVLHVKDRTGRALVEVLEDHIENKENILHCRGVRVTELLIEKEVCKGVQVLDGSNLYWITSKAVVLATGGGGHLFTNTTNPAQSAGEGIALSWKAGVAIEDLEFIQFHPTALKFYGSPCFLISEALRGEGAVLVDKNGESPVKHLENGDLATRDQVSRAIMNNMQENDVDHVGLDLRFIDPEKIVERFPMIISRCQDYGVNPLNEVIPVAPAAHYWMGGVHTDLNASSTMKGLYAVGEVASTGVHGANRLASNSLMECLVFARKMSCIELNAPYNLRRLDRYTTEIFMDNPKEDFILGVSDKIDSLRKLCWSNLGVSRNKKNMNKLLKTLQDEIDQLQKNPLLECLNKIEIDQKLKLSEPNRRGLNLLLDLHNRQITTLLLLKACLFREESRGGHYRDDFPIKETTWKCHTRQQLNQEIIKRFIKN,MRTILISGANSGIGLNIAHKELKAGNRISIGLRDLESVKGSVIDPNNWTNEKILLNKYDALDKFSAKKWVENTVSKFGGFDTLINCSGVLSKVPFLYKDGDEEEILNTFNINFLAIWHLCRISWKHLSQSNNGRIIVLVSMSGKRSKGDLAAYSSSKFALMSLCQTMKNKGWEENIRVTAICPSWVNTKMAEKISSIEKSKMTQPGDIAEICSTILKLPMQSVPFEIALNCNYEI
+MSRKSELLKGEETKNFSEFSQLADFSLMNSLNADPHSTKDGNDHRARSVNSGHYVPVTPTPIPEPIYVSHSKTLFKELGLSSDLTKDKNFCRFFSGDIEVAEYPMRPFGWATGYALSIYGTEYTQQCPFGTGNGYGDGRAISVFEGLFNGKRMEMQLKGGGPTPYCRGADGRAVLRSSVREFLAQELMHALGIPTSRSLTLYVSGTEIVRRPWYTEGSRYFEPDIMVDNHAAITTRVAPSFLRVGQLELFARRVRSNSHDDAFNELKIIVQHLIDRNYRDEIDPSYSFNEKVIRLANLYRGRLISLVTNWMRVGYCQGNFNSDNCAAGGFTLDYGPFGFCELFDPRFQPWTGGGEHFSFFNQPFAAEINFKMFCSSLLPLLLENKEDIEKLEKIKNDFSKFMSKEMQLMWAKKLGLEKYDETLTNELFNLMVNSKVDFSIFFRKLSHIPDNISFLKDSFYLPSSEELDKEWFIWLKKWQDCINKQGDLKEISKSMKQVNPKFTWREWMIVPAYQEAEEGNYNKIKELQTIFKNPYEEESLEIEQKYNRLRPREFFNKGGVSHYSCSS,MNYIQIKDLSKSYSDIKALKNLSMEINAGTLFGILGPNGAGKSTLIKILATLVEPDGGEVFVNNINLIKNPRKIRELIGYVAQDIALDKILTGRELLDFQSDLYHMNKKEKYERIKLLINQLEMNDWIDRKCGTYSGGMKRRIDLAAGLLHLPKVLILDEPTVGLDIESRNIIWQLLKDLKNDGMTIILSSHYLDEIDKLADSLVIIDDGKVIAQGTPAQLKNKLGGDRITLKVREFSNHEESKKISEILSSINGISQIIINKAQGYAINFVVDKEKDLLTKLKVELAFSKFEIFSLAQSQPSLDDVYLQATGKTLLDAEISMTGKRDLKKESKQSMR
+MFLISAEKFSLWKKKQLSKGGDNHSLNLLLESLGGLSNIELNLLKINLEKNLNFKVNLDLIESFWDKHLNTSIPIQYLSGISFWRNLKLEVSNRVLIPRPETELIIDIISGIFKNKEEKITFVDLGTGSGAISIALALENPNWNGIATDIDKNAIKIASRNFATYSNQSNLKFYNGNWWDPLKNFKGEIDFAVSNPPYIPQDTYEVLPIEVKNFEPKLALLGGQEGLDHINQIVQNAPLYLKNKGWLLIENHFDQGEKVKKLFLENRFTSVKVLKDFSGIGRFTIGRYK,LFDKENLKYFLIWPMSVLLAIFFKYYGFLKPDFLLINNYLVLLLVCGPALVVTIILVFNKI
+MKLQTQFTVPKKEFRDLDYVNKVKVLEETLKKECMDYPTKEDCLVCCN,MSKLKGPDGRIPDRLPDGRPAVAWERRWTEGTLPLWLVATAGGIAVIFVLGIFFYGSYQGVGAG
+MNNKRIFHDPIHKEIIIDSDKPEELMIMQLIDTLAFQRLRRIKQLGAASLLFHGAESSRFTHSIGVFCVARKIYRKLVEINPDFSQNKFILFGAALLHDLGHGPLSHTSEVIFAHDHELWSKNLVKNYSPISSILKNFGTELPNQIGDLFKTKNLFSRPLKTLISSEIDCDRLDYLLRDSYNTGTKYGLVDLERIISALTFSPDGNIAIKPKGVIAIEHFLVLRNMMYRTIYNHRINEISTWILEKIIQIIKKDSVKKDLWIDESMRRWIFFPNQLEVKDFLANDDIVFYFHLMKWKEESFEPLKTLCKMFIDRKLLKASDISFLTKLKRLEILAFARKKCKLNNYDSEIFCGIKERSFKGFKSDNSLKIWDGTYQNLLENQSDLINTLMSSKDTSLIIYPGEFRKEIEDQIAIERANV,MSLKSVLKNKSLGILVHPSSLPGGSYCGTFGEGAKDWIKKLCKYKINHWQFLPLTPTDSTGSPYSSPSSFALNPWFLDINKLIEENFIISLNKKDLQSINQNEDHFDFDYANNLSKKLGEYLLFDWESQSEMRKTDFYLWNKKNTWVEDYSIFMVLREKFNMLPWWEWPLEFKQKENEFIKTWIKDKKNEILKTKLIQWHLDKQWKEIKVFAKTNGITLIGDLPFYVSRDSVDVWSNKSLFSISQNGDLLFQSGVPPDYFSSTGQLWGTPTYYWAKHKSTAFRWWRKRFKRQFELVDILRLDHFRALAGYWRVDGNAQNAINGSWINSPGKELLNLLKKDLKSDYLPIIAEDLGVITKDVEILRDNYELPGMKILQFAFDGNDNNPYLPKNIEKENWVVYTGTHDNATSTSWWDCLDITIKTHIKDKYKYSIDPSWNLMEIGMSTKANLFISPIQDILSLDDSSRLNTPGTITNNWRWKLNQTLDEIDMNLKKYSDLGNNYGRLSN
+MSIETKKYNNLISISTELRKRIIKTSYEAKIPHIGSCLSCIELLVFLYWKELNIDPSNSEAINRDRFILSKGHGAPALFQVLGLKGFFPIERLNSFGKPGSVFHEHPPKPGYIPGIEAATGSLGHGFPMAVGMSLAKRINNLQYRTYSILSDGECNEGSIWEAAMFAGAQKLDDLTIFIDFNKWQATGRSKEVLALDPLKEKWQSFGWDVYEIDGHKFNQIDKSIELAKTNKNKPSAIIAHTIKGKGVSFMEDNNNWHYKTPNEEEFKKAFEELKN,MSKFSSQEIESQYNLIKTLLSDPEKYNDALDAIKKDIAHMPLELKKKLEEENITF
+MQKKSFSISWGDTSLEMLPSKALLLPQTNELLICDVHLGKAEYFQQNGIPLTNNSDEQNLLSIKKIVENHKPYKLIILGDLFHSKYSISKSIKSKVENLSESLNIKIELIVGNHDIGCKVKNISFLEYKRSSNFIFSHEPIGKFENKILNICGHYHPKTFLKNSKDKLSFKCFAMDEKNNTLYLPAFGDLTGGYPCKNSFKKWAIISEKEIIAV,MKRLDLIFSERELDAIINTLEKANVPGYTVMKHATGRGPERVVTEDMEFTGLGSNAHVIVFCEQELIDQMRDNIKSDLSYYGGVAYISEATPL
+LEELITKKLEVNDNLKSRFHNGFNIVKSTFLSSPIALRLWSSFFVILPIFVQAPWVRFAPISALCATFFILAAAFLLSRKEGDKWFIVGSLLLGVTGSWLGGCLFWGWLSAYPILHIPVEAVALPLAIVGLGTKWKIGSSFYISSLFGTAITDLTIFLTGIMDQWKEVIIADSDNAPLILQKTSENLIQFKSLSIIILAALILWFISKEIFNYATSNSINGKAFLVSSYVIQTTLIVDGIFIMLAIIQPTLSGLV,LNRSFYFKFSVVIISFLLVWTLRDFILLIICSLVISNVVSNLCYQIQTILKLPRFVSLLIVLVGISFMIFAISIIVLPPFIREFNEILIDIPNGLSRVNELVNSNLNKFNDLIYGKESERIVNIFDLVNDVVPIPDGATIAKAIQESFINIINLAGNLGSGFIRVIFVLVVSFMISIEPKAYKEGVLFMIPKVYRNKFRIILDKCNIALTNWTFSIVISSISVGLLSLIVLSILDVKYVVSNAIIAMILNIIPNIGPVLSGIFPISIALLDNFWKPVAVFGAYIVIQNIESYIIMPSILKKKTNLLPGLTLISQFGFTFIFGPLGLVLSLPIVVVTQVLIKELINDN
+MSQIFTWIWVSSGILLILLVLLHSPKGDGMGGIAASGSSMFTSASSAEASLNKITWTILIIFLSLAIILSAGWI,MSKLKGPDGRIPDRLPDGRPAVAWERRWTEGTLPLWLVATAGGIAVIFVLGIFFYGSYQGVGAG
+MGEAKRREELGLPPREKKEAKKDSKSNLNQILNKYPFAPYILGISLLTILIIDLVNYYK,MASNKDNQLVEKNDDNLGVENISNNPSIQSEQKLEVTEDEISFKEEDLDNGFACFGFNKLILNSLESKGYKTPTPIQKAAIPELMLGRDLLGQAQTGTGKTAAFALPLIEKLENNKESNAKVLVMTPTRELATQVADSFKSYSAESTNLRTLAIYGGTDFRNQISSLKRKTDIVVGTPGRIMDHIRQGTFKINNISCLVLDEADEMLKMGFLEDIEWIIDKLPENKQMVLFSATMPNEIRNIAKKYLNEPAEILIKSVKQETQLITQKYINVQRHHKLDALKRILEITNEGVIIFVRTKLLTTSIAEALENSGHSVAVLNGDIPQNQRENTVDRLKKGFIDILVATDVAARGLDVERIKLVINYDFPFDKETYTHRIGRTGRAGRSGEAILFVNQREKHFLRNLENSTRNKIEEIEIPNNKIINEKRMGKLITNLNESSLDQENNEEKKALMIDILDTLREKHSMEDSNIAMAAINLAIGNKSFFINEDESWLYRQNNSDRNRSNRNGNNRMRNTNRRNNYQNDSFETYKFNFGKMDRVRVANIISSICTSTNINGRLIGKIQIFNEYSLVDLPRDLHGEVKNKLKNLRIRN
+MNSKLKFIYEGKAKKIFAYEDSDKVIIEFKDDATAFNALKKAKFEGKGELNCLISSKIFEFLIKNNIPTHYIGLKNNNSMIAQKIKIIPLEVVLRNTAYGSLCKQTTIKPGTVLESPLIDFYLKNDTLNDPLLTKDRINLLKIVDEEELDFISNMTLKINKLLKKFFYNIKLDLVDFKLEFGYNSNGQIVLGDEISPDNCRLWDLNQKNGMIVSLDKDRFRNDLGGFIEAYSEINKRINNFI,MGFVPLHNHSDYSLLDGASQVSKIVDRACELGMDSIALTDHGVMYGVLDLVKKCKSKGIKPIIGNEMYIINGSIDDPQPKKEKRYHLVVLAKNHTGYKNLVKLTTISHLNGMRGRGIFSRPCIDKSLLEKYNDGLIISTACLGGEIPQAILKGRIDVAENTAVWYKRIFGDDFYLEIQDHGSIEDRIVNVELIRIGKEHQIKVIATNDAHYISNMDVEAHDALLCVLTGKLISDEKRLRYTGTEYIKSEDEMLRLFNDHIDKESIKEAINNTVEVSQKIEEFELFGTYRMPKFPLKEETDSLSFLTKITKQGLLSRLNKNNLDEIDEIYKKRLTSELKIIDDMGFPDYFLVVWDYIKFARDSSIPVGPGRGSAAGSLVAYALQITNIDPVKHGLLFERFLNPARKSMPDIDTDFCIDRRNEVIDYVTNRYGEDKVAQIITFNKMTSKAVLKDVARVLDIPYGESDKLAKLIPVVRGKPYKLNEMIDKKSPSPEFRDKYLKDIKVKKWIDLALRIEGTNKTYGVHAAGVVIASDPLDMLVPLQRNNEGQIITQYSMDDIESLGLLKMDFLGLKNLTMIDKTISLIESSTGQKINIDKLPPKDNKTFDLIGRGDLEGVFQLESSGMKQVVKDFKPNSLEDISSILALYRPGPLDAGLIPKFINRKNGSEKIDFPHPFIESILTETYGIMVYQEQIMKIAQDLAGYSLGDADLLRRAMGKKKVSEMVKHRNIFIEGSCKKGVDKKIANDLFDQMVLFAEYCFNKSHSTAYGAVTYQTAFLKAHYPVAYMASLLSVNAGSSDKMQRYISNCYSMGIEVISPSINLSGIDFTIKKDQILFGLSAIKNLGDSAIRNIIDNRNKLGVFKSFSDLCDRLPSNILNKRNLESLIHCGALDEFSENNNRAQLFSDLEYVMEWASSRNRDRISGQGNLFDSISKNDTKEFSLSQGSKVEDYSLIEKLKLEKQLLGFYLSDHPLKHLAKPAKLVSPISISQLENSHDRTKVSLVGMIPELKQITTRKGDRMAIVQLEDLSGSCEAIVFPKTYCRLSEFLLTDTRLLVWGTIDKKSDKTQLIIDDCREIDNLKLLVINLDSSQASDIRIQNTIRDCLVKFKPDRDKCGIKIPVLAAVRNNDSITYVKFGDQFCVGDILGVSKLLSDKSFQVNLKSMIA
+MNIKQPSSHKNPEPESSVLYIVGTPIGNLSDLSSRAINILKNVSLIACEDTRQTKKIMNKFEFTNNLISFNKHNSLKKIPRIINDLNSGKSVALVSDAGMPSICDPGEDLVKNVRSNGSNIICIPGPCAALTALVSSGLPSSKFIFEGFLPKKKSQREKILFEISKNEKTTIIYESPHRLKKLLNELKIYCGGEREIQVSRELTKKFEEHIGNDINNVIKTFQEKEVIGELTIVIKGIKKESNLLINKSDLKKELNELIKAGLSLSAASKYLAKKHGIKKSETYNLN,MSFLNNWWLIPLIITIFSGILCPAMGTVLITHRRLLQVNLISHCVLPGLALALALGIHPSIGGVISGLVGAIIAESLTNKKSENYEAVMNTILAGMLGFGVLLIPLLGIRIDLEAVLFGDLLTANLGDLLRTIIAFLTFILLVTFGYEKVVYVGLDPEGASASGINVSLLNLALSFTTALVIVSSMSAVGVILVIALLSTPTLLGLDKAQSLRIAMMRSSFFGLCISLLGFILSIVFNLSPGPAISVICVASLIIPKIGNKF
+MAAKEHKSLQGSKILLIEDDKSIRLTVTESLISEGFEVSNFKDGSSALDFILGEGIKDFDLILLDLMLPGLNGLELCRKIRNEELYTPILILSAKGNESDRVLGLEVGADDYLTKPFGISELIARCRALLRRSKRGKEKKQKIETIIEYKNIKMFTEECRVTNFNQEIILSPKEFKLLELFIKNPKRVWSRDLILEKIWAIDFIGDTKTVDVHVRWLREKLEENPSAPKIIKTVRGFGYRFG,MRTILISGANSGIGLNIAHKELKAGNRISIGLRDLESVKGSVIDPNNWTNEKILLNKYDALDKFSAKKWVENTVSKFGGFDTLINCSGVLSKVPFLYKDGDEEEILNTFNINFLAIWHLCRISWKHLSQSNNGRIIVLVSMSGKRSKGDLAAYSSSKFALMSLCQTMKNKGWEENIRVTAICPSWVNTKMAEKISSIEKSKMTQPGDIAEICSTILKLPMQSVPFEIALNCNYEI
+VARIAGIDIPREKRVEIALTYIYGVGLTRSKLILSNTGVNPDIRVKDLSDSDVQKLRGATEDFTVEGDLRRKEGMAMKRLQDIGCVRGRRHRMSLPVRGQRTRTNARTRRGSRKTVAGRKK,MTLSSYRMHRIYLAATMGYGLGSDDPEEVAYYKKLRKEMDEMKKDVVKKGIPLTWDIPDGMDK
+MENSKPNYWQNAERTNGRMAMMGFFALVVNYGLFGWIIPGIF,MQILIIPIGFILWYFAYESKPINNDEVTSLWEKENYVKRTKLLNILKESF
+MDLCFLSTNITSFVADPLSHEFMRKALLMSSLVAAVCGFLSSYLTLKGWALMGDAVSHSVMPGVVVAYALGLPFSLGAFIFGVGSVALIGFVKQKSRVKEDTVIGLVFTGFFALGIVLVSKIKSNIDLHSILFGSPLGISLSDVKQTVFISLLVVILLSVFRKDLILYCFDPRHAKTVGINVLFLHYLLLTCLSLAAVVGLQSVGIVLVVAMLITPGATAYLLTDKFDNMTIISVISAIISSVFGIYFSFWFDLETGGSIVLVQTFIFLFAFLFAPRYGIFKFKKLFSSY,MKDMPTWIDEYHKGSRFGLNGKVLLKKNSKYQEILIIETDFYGKALMLDGCWMTSVRDEKYYHECLVHPALSSIDKKSHILIIGGGDGGTARECLKYSQVSKIDLVEIDEEVIKVSKTFLKEIGGGAWSDKRLAIHIDDGVKWVETTKDNSYDVIFIDCSDPSEFSNLLFTDSFYKECKRILTKKGILATQSESPESFENIHIHILKSLNKIFKLSETMYSFVPIYPSGIWSWTFASDEELNLSKVNYKEVMEIENNCDVWNLNFQNAAFKMMPNKIVKKLNS
+LQISNNNYPWPDDWGRKTSIMGIINLTPDSFSDGGDFCSIEKVLNQVNYFVSNGVDVIDLGAQSTRPGAIEIGAKNESKRLIPYLKKIRSEYPNILISIDTFNSEVAHEALSNGANWINDVTGGRRDEEILDVVSEFNCPFVITHSRGNSITMNNLTNYDDFLVDIIHSLESLTKKALNKNVSKDKIIWDPGIGFSKDTKQNIEILRNVPLLKNFEFPLLIGASRKRFIGEILNQPNPKERDIGTLAISCLCSQQKIHLVRVHNVKINYQVLKVADHIFR,VIPSDTPINQHSLQSLELWLKDLGATKDIDNPSKWYLLLSNWNATIIFEQEDLSVVWESGGKLTKRLFSYCINREDIENAILQGP
+MKAKPETTAHVSVKEYCFTKKEVKGVVEASDFKWTFTWSFGKGVLFVTPPLGRALIQDSLLRFFLKKDYELEAGNEYKFIISAKF,MDICLLNIDNNSNKSLNPTSVIGMLWLQTHFEDTQWEALSNNQVIISKENSKLLVKDAISAGLKIKSFSGVSMLDVFQKKN
+MKNKVFPFIKKYPMSILLAIIAINLFSIASSLRTEAYLNREKNLCIKYLKHQIDRDTLIKKLRIVKQANPSSICDSVLKS,MNKFEFFKTDAIQSSYGGQFSYKVIGPCCRLYDREELPWPCSRLAWRSKEPSWRRIGARFVADMASRKCPSYSVQILEPGSKPVETVITLFSKKFSSEIQEWWYSKKPGSKEPGNVLPESI
+MDYKTSGVDIKAGREFVSEIKQSVESTYSSNVLEGIGGFGGLFKIPLEGLKKPVLVSGTDGVGTKLELAQIKNFHFEVGIDLVAMCMNDIITTGAKPLFFLDYIATGKLEKNQLLEVINGIAHSCRENKCSILGGETAEMPGFYSKNKYDLAGFCVGIADEEKLINGKKICENDLIIALQSNGMHSNGFSLVRKIIENNNQIDKQFEKKYNLDFYDELLKPTKIYFKIVNQILSQNIQIKGMSHITGGGIPENLPRCMSSDFIPYIDKKSWKIPVLFEFLKDVGQIPEKDFWNTFNLGVGFCLIIDKKYKDKILNICNAFDISSWVLGKVLKKNNSKENNFLPEIII,MYFQDIIQNLNKFWSEEGCLIMQPYDTEKGAGTMNPHTFLRAIGPEPWSVAYAEPCRRPTDGRFGDNPNRAQHYFQYQVIIKPSPDEIQEKYLTSLEFLGINPKDHDIRFVEDNWESPTLGAWGVGWEVWLDGMEVTQFTYFQQCGGIDCNPIPIEITYGLERIAMFLQDKESIWDLNWNKDINYSDIWLQFEKNQCSFNFSNSNPENMRKLFAIYQEEANSLIEKDLTYPALDFVLKCSHCFNLLDARGVISVTDRAQYIEKIRKLAREVATSWIKERELMNFPLVKK
+MKNFTKNNYSTKRNDTENRRSQSKNNFKKGNDLNTRDDSNRRDNSNRRDNSNRRDNSNKRDNSNRRDDLNRRDDFNRRDNFKRRDDSKRRDNFKSRDDLNRRYDFNRRDNFKRRDDSNRRDDFKRRDDYERKGAIKSNEYSYLKSKEKPRNSFNQSQTRFSSNAQQTENYSENSSKKFQLSPNERNYEDWIWGKHSVFAALNSERPINRIWCTSEIFSSEKFYLLLKDLKSKGVLIEEVPWSRLSQLTSGAVHQGVALQHASTESISLEKLIDISKSKSSNPIIVALDGVTDPHNFGAIIRSAEAFDCKGIIVPQRRSAGLTGTVAKVAAGALEHIPVSRVVNLNRAIDELKKKGFIIIGLSGDGQVPISEFKEKAPVVVIVGAENKGISLLVQKKCDYLLKIPLKGKTSSLNASVAAAISLCYLSNN,MELPCRRFGRTNLKMPVLSLGGMRFQKSWDELKFSEISRKEQNKVENILNLANKFGFNHIETAKYYGTSEIQLGMGFKSIEKKPKIIQTKIPPNRDPKLFEAELLKSFEKLQVKKIDLLAIHGINTPEHLHQAVKDGGCIDILKKFQQENLIGYIGFSTHGELSLIEKAITTNLFDYINLHWYFINQTNSKLIELAHKYDLGVFIISPTDKGGHLHTPSTKILELCSPLHPIVFNDLFCLRNKYVHTISVGIAKEQDFNLHLEAVSLLSESDHYIPKILNRLKEESINSLGIEWYKSWDKNLPNWKNTPGGINIPVLLWLANLIDSFDLEEFAKSRYQLLGNGSHWFPGNNANLLDVNVCESQLLKVLERHIKPKKVIKKLRVLKDKFGDKSLKRLSKN
+MSESKSPLDRIYRLIASHAWMTENEAKVLLVMMYASGTKSLGLEGKGLNKFMERSLEKMCSDNKENLQEYLLKIKDKFPNNELLSED,MEPTSSLNRGDRKKGSSLVTGSEVQSQSNGASCFITTDSEKSLVSRQASQVEQIELRTYVFLDSLQPQLAAYMGTVSRGFLPIPGDSCLWMEVSPGMAVHRVTDIALKASNVRLGQMIVERAFGSLALYHKDQSTVLHSGDVVLDAIGSEVRKRTKPSTSWTEVICAITPDHAVLINRQNRSGSMIQSGMSMFILETEPAGYVLKAANEAEKSANITIIDVKAVGAFGRLTLAGKEGDVEEAAAAAIRAIDQISNY
+MTMNNLKTKKLVNLGPSGRAVAQPMDVSLLDNFYEHLTMERYANVQYFSIYLWFQERDLDGFASHFLSESQGEMEHAYKFANYFIARGQTVKLKELPAPIQTWDSIEDIISYSFNMEADLTSSLQQLYSISERISDTRTSVFLDPIVDAQTKSEDEFAHILGKVKFAANQPSAILLIDSDLKKK,MFLKDHLKDTYQKASFDNNHLMLENIINIWAHRFGPESLNELFVKDQDQDQLKLIEENQAEASQNQINLELIEDHQSEANQNQTNLELIEEHQSEVNQNQINLELLKNLQYEEKIEFKPKETKKSNNTEIINKDIYGSYKNESEFKDKEELPLPNIKNLRKWINNEKKAS
+MIILHIGLFENSFSNIMKSVIFQETANLKKPVPAEKVIELSDKLLEPSSHSKRYPPRLHKTWGTIFFMIAIHLLSLLALQPQFWSMPAVTALFFFYWLTACLGVTLGYHRLLSHRSFVVPKWLERFFATCGAISCQHGPIDWVGLHRHHHSFSDTEVDHHNSKRGFWWSHMGWMFKDVEALKAVPKLSADLIKDPYYRFLNKYFLFLQIPIGLCLYAIGQKLGVGGWALVLWGIPLRLVVVYHITWLVNSATHCWGKAPFESGDGSKNNAWVAALTFGEGWHNNHHAFPNSARQGLFRGQIDLTWEHIKILAKLGFAKKVKLPSRSYY,LNKKLGHKDHFHFIGIGGIGMSAIAMALIKKGYSVSGSDLIQNKETKSLKTLGAIIFDSQIKKNIDFVISKFQDHTLNCVISSAIKDENEELCFCKKNNLSIKHRSEILAMIMNSYTSLSIAGSHGKTSTSTFLSTLLELCTHDSSSITGGIIPIYDSNAHIENTKYLVTEIDESDGTIKNYNSDIGIINNIDFDHCDHYSNIDEVLSSFKKFASNCQKLLINYDCKFTKNNFTSKNQWSIKESNNIAYSLIPNIINKDKTVGKYYEHGKFIDIINIPVPGLHNLSNITAAIAACRMVGVSFKEIKKNTESLKLPKKRFEFRGEINQRIIYDDYAHHPNEIKATIDLARLFIKDKNSSDREEKGRLIAIFQPHRFTRVKQFIHEFVKELSKADVIYVTNIFGAGEKNIDNIDSQLIANLIYKNNKNVTCLKDNYEINEKFFKLTKKNDFIINMGAGDCHNLWSILKNKNTLNN
+MDINWASTQIVKNLDRHEKRDLLAWILTQSERTFQRAFEAGQYSSAIGSLKLIWEMTIKDSKEKDSRYHGNYKH,MSKLHLKRFLKKSYEFSLVLFQFFIIILHFIHLEFIPKKEIMQVNFFFSFVGFLLIIISTIVMLISIKDLGRNLSPFPRPTVNGNLTTSGIYSFIRHPMYYSLILISFGFFITKLSFYHLFLTISLALIIKLKIILEEKYLNKKFKNYFIYTDKVKY
+VHKNKILVPLSNNSYEVIIKQGLINNIGEELIRIGINSNRKILIVSNKEISTLFGRKLLNNLKKNNFNAEIFNIKAGESHKNFASLSEIFNAAFEVGLDRNSLLIALGGGIVGDVTGFAAATWLRGIEYIQIPTTLLSMVDSSVGGKTAVNHPKGKNLIGAFYQPKAVFIDPETLITLPTREFKAGMAEVIKYGVIKDKSLFEYLENEKNRDKILNLENESLIKIINKSIKTKACIVSEDEKENGIRAILNYGHSFGHVIENLCGYGEYLHGEAISIGMKIAGDIATEKNLWSKEHSLRQDHLIESYGLPIQTPKIKKNDVMKILMGDKKVRNGKMRFILPIELGEVDIFNDINESQFLKYFN,MKKIWKIEKLVLPQHSDHAGVMWHGTYFDWLEEGRINALSKAGLNYVDLTKNGFDLPLIDTSIKYISPLFLGDTVTIETIFEISKSPKIKIHSKFINKSKTILTIAKVNLVLINKKSFSIIRKRPDFISKAFLKLNG
+MNDLNIEFPLDDFEELISQIGWSSLDEWFIFWNLKKEMLSINNFWDDNVKDDWIWGLALPLLSQAYKLNKKSPDRKIIGISALPGTGKTTLGKWLESISLKLKFKLSVISIDDFYLPSEEMEFAIKNNPWNVSRGFPGSHSIDLMKEKLLKWKTDGQLNVPVFDKSLRKGLGDRAHWREESPDLLIIEGWFLGVKPLSIDLDNSEKFSPPLSVFESSYRNKIQNNLDQYLDIWNMIDQIWHLKPLKFEYLNEWKSNQEKSMHFKSGSSLKGDNLSNFLRMLNVSIPHKSFDDINSDVLLMINQERKLVRVGLNQQISK,MLTTKITYALSDWIREWRKCRKENPSLDDCIKFTEWKIENYELTDSDRMIIESILLYETEET
+VNITFLGTSSGVPTLTRNVSSLALKLSQTAEVWLFDCGEGTQHQLMKSNIKSSQIKKIFITHMHGDHIYGLPGLLATLGLSGNSNGIEIYGPSELKSFVTSALESSFCKLSFPLRFRAVEDFASLNKILFENDKLKVHCACLKHRLPAYGYRVSEKDKPGVFDIKKAEDSNIPPGPIYSELQAGKTVQLKDGRSFNGQDFCGPPRKGESFVYCTDTVFSKSAVNLSKNADLLVHESTFSKEDEKMAYEKLHSTTIMAAKTALLSNVKKLIITHLSPRYTQRSSIKPSDLLKEAQKIFPNTYLAKDFLTAEIK,MKLSKKFEELIIKQLESFGCSMGVTHLVMYLASTEQGTKASFEMIGQWPQIDRLLVSVEDDPSLKVSSPNRRWYPLQENDILLGVLRVETDLKEGNWPVSLDSRLKALSLSLAKCVSIELERQNKNEEINYLKSQVNVIIHQLRNPLAALRTYAKLLIKRLGSDVDSIEIVERMIIEQKQINNYMDSFAQLNSPIQLPLDIGEERLLLPPNLDNKKLITVQSLLRPILERGQANANLENRDWTEPSLWPDWTLSPLKAKYAVIAEIVANLLENAFKYAHKDAEIGVAIMSKGLCIFDDGKKITKIENEKIFQKGFRGSAAKKKDGTGVGLFLARKLAKQIGGELRLLENSSINDVEELKSFKKKNIFYLELPIKELHS
+MIENPSQIVKEISDEKEIENSTIEENTSDTPKEEDLSFDHKDIPSADSSSSRRNNDLDTAGFTQEEFASLLGKYDYNFKPGDLVKGTVFALEPKGAMIDIGAKTAAFMPMQEVSINRVEGLSDVLQPSESREFFIMSEENEDGQLALSIRRIEYQRAWERVRQLQKEDATIYSEVFATNRGGALVRVEGLRGFIPGSHISARKIKEDLEGEYLPLKFLEVDEERNRLVLSHRRALVEKKMNRLEVGEVVIGSVKGIKPYGAFIDIGGVSGLLHISEISHEHIETPHNVLNVNDQMKVMIIDLDSERGRISLSTKALEPEPGDMLTDPQKVFNKAEEMAAKYKQMLLEQTDENEEQTVEIAESV,LSRSLDLPSTEGVDTLAQELAKLQDNGKRRIAFLGSRHVPVVDIHLIELIARSLAEEGHTILTSGSQGVNAAVIRAVLGINPSLLTVLLPQSLDKQLPEIKNQLESVIHLVEKSENDELPLPMASSLCNQEIINRCDQLICFAFHDSETLLNSCRCAEEMGKVVSLLFFD
+MKKKLAAVSFSALLAIVASSTTSGFASWNTKYWTNEKNFNRISSFNVSENLPEGSKSTTKTSSEVVTASEDGKTLMYTDSDLGVVGLVDISDPAKPKALGIVELEAEPTGIAALGNNIYIGSNTSESYTNPSGALVQYNLDKRRAVKECDLGGQPDSVFVSPDGSFLAVAIENERDEEYKDGQIPQLDEDGKQINPAGYVSLVKLNKKGKIQCNSIKKVDLTGLASIAPSDPEPEFVAINDLGETVVSIQENNHLAVIDKEGKVISHFTAGIVKQMAGMDTKKDGAHKFKKKLKNVRREPDGLTWIDNDHFATANEGDYKHKAPGQAKRGGSRSWTIFKKDGTVVYEDANRLERSIAQIGHFQDGRAGKKGVEPESVTFGKIDGTPYLFVGAERAGIVAVYDITELSQPVLTQLLPSGIGPEGFVAIPDRGLIASANEKDYNKKEPGLSSHVTIYQLQDAPASYPHLTNENGLEFVSWGAISGMVSGEDGKIYAVNDGTFKTQPRIYVIDPSSSPALLERAIDIKLDGKTALFMDQEGITTDGRGGFYISTEGIKKKLTEHPPAIYHVSSEGDILEKITPPPSYLNYAKNPGFEGITRNGNILYIAQQKPWGDDTFNTTKILSYNLISKQWGAVNYQLDRIKKGGVGISELTYHDGALYVIERDSFYGKKAKLKAIYKVDLDGVVFEGLQTTMPPRLYPLVEKELVTDLKPVMKSTGGFILEKVEGLAINNDGQAWISTDNDGTGKKSTGETLFLNIGKI,MKNLKSNKRKIHRKVAAISSIPLLITLISGTIYSFLQPLGVDAFWLIKWHTGNFGIINLQPFYSIFLGIASIISVISGIRLLQKNS
+MGFIKNKLFIFIILILLQSCSGGRIGNFFESSFKNIEETKIKEDVKNNLKNKIVIKSGGIVEKNKNIEETKIKEDVKNNLKNKIVIKSGGIVEKNKNIEETKIKEDVKNNLKNKVLKMSEKKSKNNKKISDKNISPKKIIFQPKSYKIIFILKDVDPKDPTEDLRAILRNSDVNFEIEKIERYFDTKNKTIKSN,MKWIIQEEKEEDHLQILNKDSEIGIDEVGRGSVFGPVFSVAVVLSKKSGLTLKKLGVNDSKKLTPKKRKDFFPKIIALSSDYALGQSSVREIDLLGIRHATELSMIRAVKKLKHMPSELLIDGPLTLRLWEGNQRNIISGDSKFISIATASIIAKVMRDSLMERLESKYPGYFIFKNKGYGTKQHFSSLKKHGLTNLHRKSFLNKLNLI
+MELPCRRFGRTNLKMPVLSLGGMRFQKSWDELKFSEISRKEQNKVENILNLANKFGFNHIETAKYYGTSEIQLGMGFKSIEKKPKIIQTKIPPNRDPKLFEAELLKSFEKLQVKKIDLLAIHGINTPEHLHQAVKDGGCIDILKKFQQENLIGYIGFSTHGELSLIEKAITTNLFDYINLHWYFINQTNSKLIELAHKYDLGVFIISPTDKGGHLHTPSTKILELCSPLHPIVFNDLFCLRNKYVHTISVGIAKEQDFNLHLEAVSLLSESDHYIPKILNRLKEESINSLGIEWYKSWDKNLPNWKNTPGGINIPVLLWLANLIDSFDLEEFAKSRYQLLGNGSHWFPGNNANLLDVNVCESQLLKVLERHIKPKKVIKKLRVLKDKFGDKSLKRLSKN,MIFRNKRSSIKKTNILSQDELIKHYGINSYEFTHQEKKEIFVCSKVKEFDLIELDQLLQTVGWSRRPIRRVKRALEFSILVVGLWRHDEKFPRLVGFARCTGDGIIEATIWDVAINPVYQGLGLGKELMKYILQELKKIGISKVTLFADAEVVSFYKRQGWELEPKGSKCAFWYAN
+MIIIEGFHIFNHKQNCKTKAEWMEQSGMTYDRESEVN,MQIKILVKLFSHLIKVIFKPLLGFAKFFITTYGVFLKFFLQLNGGYWGKIGIGQYSKIERKRFFCILPFYILLALLFGILSLIYWYFVVLFIPFWIERYLTDTAQWNNIFSSIMAFALICGWLLLLSKTK
+VEGKNTSITFDGREIRLTTGLYAPQAGGAVMIECGDTSLLVTATKTTKKQAADFLPLICDYEEKLYAAGRIPGGFMRREGRPPERATLIARLIDRPMRPLFPSWMRDEIQIVASCLSLDERVPADVLGVTGASIATLLAEIPFYGPMAAVRVGLIGDDFILNPSYREIEKGDLDIVVAGSPEGIVMIEAGANQLSEQDTIEAIDFGYEAVSELIKAQENLLKDLGIKQVKPLEPEEDKALATYLEKNCTKPIDLILKKFDQSKEERDLELDKIELEVQTKIDSLKDDNQLKVLTSENEKLIHSDFKKLTKKLMRSQIINEGKRVDGRDLDEVRKISASAGILPKRVHGSALFQRGLTQVLSTTTLGTPSDAQEMDDLNPSTEKTYLHHYNFPPYSVGETRPMRTPGRREIGHGALAERAITPVLPGKETFPYVLRVVSEVLSSNGSTSMGSVCGSTLSLLDAGVPLKAPVSGTAMGLIKEGKEVRILTDIQGIEDFLGDMDFKVAGTEKGITALQMDMKITGLPVSVISDAIKKARPARLHILEKMQEAIDKPQESLSPHAPRLLSFRIDPELIGTVIGPGGRTIKGITERTNTKIDIEDGGIVTIASHDGAAAEEAQKIIEGLTRKVHEGEIFPGVVTRIIPIGAFVEILPGKEGMVHISQLSEARVERVEDVVRQGDEVTVRVREIDSRGRINLTLRGVAQNGGMSYPEPTPTPVAPLN,MPKQLSFSNESREALEKGINTVANAVKVTIGPKAKNVVIERKFGSPDIVRDGSTVAKEINLDNPISNLGAKLIEQVASKTKESAGDGTTTATILTQIMVQEGLKNIAAGASPIELKKGMEKGLNFVLEKLRSKSIKINGSDIKKVATVSAGGDEDIGSIISKAMDIVTSDGVITVEESQSLETELDITEGMSFDRGYSSPYFVTDQERQICELENPKILITDQKISTLTNLVPILEEVQKSASPFLILAEDIEGEALTTLVLNKNSGVLNVSAVRAPSFGERRKAALEDIAILTGAKLISEDQSMKLEEVTLNDLGKAKKITISKDKTTIVAFDDTKDLVQERVEKLKREVEITESEYDKDKINERIAKLAGGVALIKVGAATETEMKYKKLRIEDSLNATKAAIEEGVVSGGGQTLIEISNELSNSRKEISDDLTTGIDIITNALLEPTKQIAKNAGFNGDVVIADIKRLGKGFNANNGEYENLNESGILDPTKVIRLALQDSVSIAAMIITTEVAVADIPEPEAAPGGPGADPMGGMGGMGGMGGMGGMGMPGMGGMGMPGMGGMGMPGMGGMGMPGMM
+MILSLLLSTFITIFIAELGDKTQLATLTMSGTSNKPLAVFLGSSSALVLASLVGALAGGSISNFLPEIILKSIASITFFIIGIRLFVNSFTSKENDNNQ,LKNLLGCSVKDLEKIALNYGQAAFRGRQIYNWLYNYKNRSKSIDEINVLPLKFRDQLKNEAFLFGELTLKEKYLATDGTLKLLLNTRDNESVECVGIPTEKRLTACLSSQVGCPMDCKFCATGKEGLKRSLKVSEILDQILFIENQMNQKVSNIVFMGMGEPLLNIDELLLSIRSINEDFAISQRKITVSTVAIPKMISKLSELSFQVLGKCQFTLAISLHASNQKIREAIIPSAKNYHIKNIIDDCREYVRETGRRVSFEYLMLHGVNDKLEHADELSNLIKGFQCHVNLIQYNHIEEVEFKQTPIKNAQLFQTRLSNSGINVSFRKSRGSDRNAACGQLRQNDKIK
+MYSLEISLRYSPFPLSIQKKEYEDIKRIYDEIKDSMNSDNQNSPLIELSCEKVQDKLITVLAKEVISVQIYEKSAVAGGSKRPGFSLDI,LARDFPLERVRNIGIAAHIDAGKTTTTERILFYSGVVHKIGEVHDGAAVTDWMAQERERGITITAAAISTSWQDHRINIIDTPGHVDFTIEVERSMRVLDGVIAVFCAVGGVQPQSETVWRQADRYSVPRMVFVNKMDRTGADFLKVNQQIKDRLKANAFPIQLPIGAEGDLSGIIDLVSNKAYLYKNDLGTDIEEAPIPDEMKDEALEWRSKLMESVAENDEELIEIFLDKGELTEDQLKKGIREGVLKHGLVPVLCGSAFKNKGVQLVLDAVVDYLPAPIDVKPIQGVLPNGKEDVRPSDDNAPFSALAFKVMSDPYGKLTFVRMYSGVLSKGSYVMNSTKDAKERISRLVILKADEREEVDELRAGDLGAVLGLKNTTTGDTLCNTDDPIVLETLFIPEPVISVAVEPKTKGDMEKLSKALQALSEEDPTFRVSTDQETNQTVIAGMGELHLEILVDRMLREFKVEANIGAPQVSYRETIRSSSKGEGKYARQTGGKGQYGHVVIEMEPAEVGKGFEFVNKIVGGTVPKEYIGPASNGMKETCESGVLAGYPLIDVKVTLVDGSFHDVDSSEMAFKIAGSMAFKDGVKKCNPVLLEPMMKVEVESPDDFLGSVIGDLSSRRGQVEGQSVDDGLSKVQAKVPLAEMFGYATQLRSMTQGRGIFSMEFANYEEVPRNVAEAIISKNQGNS
+VKKSLFKPSRKFTLFSAFVTLLNDRLSESILLPILPSFVLLFDSKASTYGLLSCTYQLAQFTASPFIGLMSDRYGRRPVTLFCITGSIIGISILSFTVLFDWSTSLATIPLFLLFIARLIDGLSGGTAATATTILADISSPEKRAKTFGLIGVAFGLSFFLGNIFVVIFAKNTNNNFIIPVIIASIIPIINFILVFFYLPETKPQNELNKSTQILKNPLKQLFKVFKEEKIRKLSLAFFIYFIAFTGLTNILIFFLQESLNWTTKASSGTLVVVGVIAIIVQGGLIGPLVKKFGEMRLTLIGSGFILLACFLLITTPQKNAIVNIYSAVSFLAVGAGLITPTLRALISKKLDGDNQGSILSNLQGLQSLGGVLGIGMAGKVYDDFGPKAPFIAGSIILLFMIYLIAEGKNNNISYN,MTDIFEVPTPDNELLEKAKQLRLASIKTSQTNNDDRIRALNLMADYLEKNSKEIIEANIEDYKKAEIKGISKSLLSRLKLSKEKLNLGIEGVRQVGNLIDPVGQIQIKRELSKGLILERKTVPIGVLGVIFESRPDAVMQISSLAIRSGNGVMLKGGSEANLTNLAIVSALKEGLQDSNLDENAICLLTSRKDSMAMLNLEKYINLIIPRGSNELVKFIQENTEIPVLGHADGICHLYIDNEVNLDMALKVALDSKIQYPAACNAVETLLIHKDTASEFLNKAIPMFNSNDVKLIGDKKSFQLGVAFEANYEDWQTEYLDLILSIKIVNDLEEAIAHIQKFSSKHTDGIITENINNANKFMSEIDSSGVFHNCSTRFADGFRYGFGAEVGISTQTLPPRGPVGLEGLVTYKYFLRGEGHIVDDFSSGKLIYSHKDV
+MQNITFKGNVNFDNQKEELNENELFSLKITDSLYKKDIGKFLEILSSHFIP,MRVVIAGAGLAGLSCAKYLVDNGHIPIVLEARDVLGGKVAAWKDEDGDWYETGLHIFFGAYPNMLQLFKELDIEDRLQWKSHSMIFNQPSEPGTYSRFDFPDIPAPANGVTAILSNNDMLSWNEKILFGLGLVPAMLRGQKYLDKCDSKSWTEWLKEHNIPERVNDEVFIAMSKALNFIGPDEISSTVLLTALNRFLQEKNGSKMAFLDGAPPERLCQPMVDYITERGGEVHMNSPLRKIDLNEDSTVKSFTIAPLDSDEKKKVITADAYVSAMPVDLFKLIIPDQWKGINAFSKLDGLIGVPVINIHLWFDKKLTDIDHLLFSRSPLLSVYADMSITCKEYEDPNRSMLELVFAPAKEWINRSDQDIVDATMEELKKLFPTHFIGDDKTKLRKFKVVKTPRSVYKAVPGCQEFRPSQRSPIKNFFLAGDYTMQKYLASMEGAVLSGKLCAETINKEYSKTSNIVSRETSKIN
+MLENIWHPSYSAAEYLGITEIKLSHLRENGYFKPGIHWKSSPLGQKKPWNPEVLYNSILCRKIMDEFYSEEKNDQYAA,MRNLIKENIKKTGNNSSRSIKKLLKQRSFVVFISILLTGLGASITSISFKTGIYFINNWRLELLNHFPSVAVLPLFGAVGGAIAGFLIKNFAPAAKGSGVSQIMGFLRHKKVPMNLKVGLVKLISGIIAIGSGFPLGPEGPSVQMGGSVAWQMARWLKAPLAFRRVIVAAGGGAGIAAVFSAPLGGFIYAIEELLNSARPVILLLVVITTFIADSSADIIQALGLDPKAGGFDFNLGFLIQKEYDPSVFFLPIDFIYLVLLGIIIGLFAELYSKYVLFMQKLGKKWYKNKFVLKMSICGLLLGSIYSFLPSSFHNLDELQKIIVEKNTNIEIAFLAVFILFITTGLAAASGAPGGLFYPMLTLGGAIGLIMGTWVEIATGHAPSTYIFAGMGAFVAGCSRTPITAMFLAFALTKNLLIMKPVLISCIASFLVARAFNEESIYERQIQIELED
+MKKKSITYTDLSKKQLQHLKELYIQKKVECMSHKELKEFVLEIISHQINDTIGKEEEMEAWMEMSKFYGDQFEIIILEIQQKFANNENLQNFEEDSKEHRLELLEKNNIEQNKQDMWDD,MKEIGWPTIDSKHLVVYSKQMLDLENEIFSQGMPQEALMEKVGIQLSKWLLKRKSLLKKGVIVFLGPGHNGGDGAVIAKELFLKGYLVKLWCPFPLKKTITINYVNYLTSLGVEILGDSPNPEGKDLWIDAIFGNNQKRKVDEELIELFNKKFEKRSGKVVSIDVPTGLCPNSGKPFLKNAVKADFNLVVGLNKIGLLQDTALPYVGELHHIDIGICRSQLCKLESKILKISYQDLRTIKLPLLPKNSSKYKRGRTLVIAGSEKYPGAAYLAIKGAISSGAGFVSAIIPNLVSNSIWQVEPEVVVTGSLSSDKNGNSILFNALKNVDFSAYDSIVIGPGIGLNEEDWEKSTQYLLDLKGLLILDADALNRISKSNLGPKFFLERKSKTWITPHNKEFMRLFPEIDCTNKVELAKKAAKAFDISILLKGANSVIANNENAWQLFGTDAETSRAGLGDLLSGFIGGCSSIELSSRDYTKTESLAKYVFLHSFAASKCKKGSNASLIGAQLSKLMRKTKTRLMS
+MRQHVNPLSKNFFEIDPIPPLNQVFENPKLPLHLDIGCASGEFLFELSLKNKNWNYIGIEIREKLVLNANLKMKSRENKNLYFSFGNANNIFNQTNNKSIINLITSISFNFPDPWFKKKHHKRRVIQPKLLNLLSNSMKKGSLIFIKTDVRDLFDHMELTISESIKFKKIPYQDVDFCESFNPNRIQTNREKYVILNQLKIYESIYKKI,MTDDINPIESDFNAALSRYQDGQELIPIAQDFQKIIQQIPNHFAAWTCLSWLQLLLKNNEEALAAAREAVRLNQQDPQARMNLSLALLATNNKGVRDHVELIKKMAMMMPDVKTELKESVEDGFNRYPNWPELTKINKWLEF
+VLNDTLSSKFICFHLINISNKLNSTLKIELANPNKSEMFELKSYEKFRDTEDVRFFDISINNSNFRDLVIHNGPAVSPPNDKELGNWQFYIHHKQEDNLLAISGGRTFYLVNLGWEYPFYKVRLESCGLILKIPRGTFHRSVSDENGSVVLNQAIRDKGGSVESEFKVTNSKDNKKLHDCITNLQPKFKIYSVK,LIMSLIPLLPVFHKFNRQFFDQSLTTNREPLVKVRWSDNRLKTTAGFYKRKQLKGVIDSEIILSKPILSKLSCNEIHSTLCHEMIHAWVDRILNINEIHGPNFLSKMNEINKAENNFQISIRHNFPVERKALKYTGKCLNCGEKYMYRKRIKNIACKKCCNLFFNGSWNKKCLILFD
+MIKDHPIFLESIRFIKSNLIENNFNYLENRVLERLVHTSGDFNIQKLLEFSEGACEKGVKSLKAGAPILTDTDMAAAAIKSMAKNTNGNLVVSAKHWFDDRDLSELTKTAYGIEKGWIELSANNSGNQSPIIVIGSSPTALVNLLEIIQNSQQIPSLIIGMPVGFIGVRQSKNKLLNTNYPRIVMNSTRGGAAMAAAAVNALLRESI,MREEDIKSFEDAFFDALNLFNNQKWYEAHDAFEDIWNTLEGDERQIIQGIIQVSVSQFHLSKGNLNGATILMGEGLGRIKNRTNIDLGVDLVSFCKCLDELLRKLQYKEELTKNDKPYLLIKEQNEF
+MRVKLEPETAFIGKKFAYIFLGIIFALNSIVFIWYFFFSNLTWS,LFQSLFSTKYNYFYNIYIVFHIRTSILLLSGLVLGLWTSWPGIVIPNNWKCFKDMIEKSSKE
+VSENIQPSSEENQIVEDLTNKESPEKLPEFKDKELITNLEQNRFECRSCGYIYDPIEGNKKLNIPKNTPFSAIDGNTFACPVCRAGKNLYKDIGPREKPSGFEENLTYGFGFNSLPPGQKNILIFGGLAFAAACFLSLYSLH,LIGIFSAFGAAISWTYACFIWRSQTEKYKSIDINLVKNIIAFLIFLPAFINLSVLNNLKSIITLLFSGVIGIGLGDTFYIKSLQLIGTRRTLSIETLSPILAALSGEIFINENLAFRSYQGILIISISLFILLRQRTNLIVNNLTNITERNNLSVYVFPFLSVLCAVSGGLLSRKVFLESNLSPFQATEIRLLGAIIFLIIIKKFRINFFLKKLDFNDQKRFLLSILLGTNLGILLQQIVFKTLPLGIGWTLLSTSPVISLFFATKEEGQITKGIIFFTTLLFLGLCLIII
+MKILLSVFFLFAFIPPSKGVTTKMFKVLDTCARYRLGEIDAKQAIEKLKLKSVNSSEIDLKNIVSNYCSVFTPNENIKF,MPKKHPTRRQFLNFGKLSLLFFLNSCSNSLKKIKIGFQSSTYPKSFRDTFPAIWQKENINFSKLKLEKNKIKFSKSDFILINDGWLKSINFANFQNINNLFLNDLLDNRSRDYLKSFKEYQRNKLFPIGVVPYAVIIKNNKDLIYEASNNWDFLLDEKLKGKIIFPQSPRILISISKRINVKNSLSKLKEQAMLFDDKNSINWLINSDASVAIIPFSLCEKYLRVDSRLSMVFPNKGVPLMWNFLLTKSKINNIVLFDWIKSLEKRSTIDELANQGWYLPFKNEYSQDKYNIKTENSNYGPSENCWENSWSFSSLNYEEKVNLENLWNQS
+MRFKVSLKKDGKEFDEVVIANNKKDAIEVALKNNPEAEVLNSDWTFKL,MNDHNSKDNYEAQTLILNDSNGNELFCYLEQIVKVEEKEYALLTPVDTPVSLFKINENDEPELIEKIEKNEQVLKNADAVLQEHDLKLIRSAVTLTVSGELEEPIYDELEEDGIEEESETYELLVSFNLLEQEYGLYIPLDPFFIVGKLINQGALLIEDDEFDKVQPLIESELEKSSF
+MENSKPNYWQNAERTNGRMAMMGFFALVVNYGLFGWIIPGIF,LMNKYDVIIIGSGIGGLCCGSLLALAGKKVLIAEAHSQPGGVAHSFNMRGYKFESGPSLWSGIGKWPTTNPLGQILRLLDEKVELIKYQGWHVNVPEGEFNLEVGQEPFKERIRLLRGEKSVKEWDSFVSGIRPLSQIVSEIPLLSSSPETINFLEIIKLASKFLPNIKSLPKLNGGFGDIVDSHLNDPFLRNWVDLLSFLISGMPMHDTNSAAMATLFDEWFKPASYLEYPKGGSESIVKALVDSFKKNGGELILSSKVEAVNFSKNIASGVTLENGSNFISNFVVMNTDAWTSRKLIPQEFQKKWSPKAKDINKCGSFLHIHLGFDASGLQNLPIHAIHVDNWERGITAERNVAVFSIPSVLDKSMAPKGKHVLHGYTPANEPWEIWKNLKSNELAYKELKEERCSIFLKSLRKIIPDIDNRIEIKLLGTPLTHKKYTNTYCGSYGPALSAAQGLFPGCKTSVRNLLTCGASTFPGIGIPAVSASGAYAAEKIMGKKEYKKLLKTIDL
+VFFKSNFSYSDSNKSYSDLLLELDSGNIQSIYFYPRKREIDVLYKNGNKEKIPILYNDQLILEKASENNVDLTINNSRKESSAANSFASVGLFLIFIIAIVLILKSTSKLASKALGFGKNKSKFVTIDDVETRFDDVAGVPEAAEELKEVIKFLNEPKKFTDLGAKVPKGVLLIGPPGTGKTLLAKAIAGESGVPFLSIAASEFVELFVGVGASRVRDLFEKAKEKSPCIIFIDEIDSIGRQRGSGIGGGNDEREQTLNQLLTELDGFADNSGIIVIAATNRPDILDSALLRPGRFDRKIEVMLPDLDGRKKILSVHSLSKPLAKDVDLSYWATRTVGFSGADLANLMNESAIHCAREDSKLITYSHIENALDKVTLGLRTSIISSQNMKKIIAYNEVGRAIVSAVKNGVDSVDKITILPRSGYLGGYTKINPDEDIVSSGLISKKLLLSKIEIALAGRAAEIIVYGKNEITQCSFNDISYATSIIREMVTKYGFSIIGPLSLEDGGEMSIGDGFVRNKSTIADNTYSRIDNEIINISKISLNNAIKIISNNRILLEKLVELLLIKETVENNTFKKITFDLLKV,MRRKIFFEVFNIKKLSILVLGFTLGVIAIWPGIISRNSRKCFFNIIKDGSDGNIQIKTILLVNPNYLLRIKNAKNDYWKVLLVGDACFRKF
+MVTSQKKGPDSSASDNELSPDQTLGLVSLSLMQKLSQKDPSFSWLGEMKPDQLNLKNLRDRLELTELAIKTGAPLTTSEVSILMGAKPGKSKIERGGILAIKVARNVWKLSKLGQGSSYYRN,MILKVLEFEFDLIVLGAGSGGLAAAKRAASYGAKVAIIEVNKIGGTCVIRGCVPKKLMVYAANNRRNMLSSEGYGLISKEITFESNILLKNVREEVSRLSVLHSNSLKKLNVKVFEGLGRFLNQNTVEVVCPKTKNILRKVSAKSILISVGGKPKKLNIPGTDFAWTSDDIFELKDFPKKLLIVGGGYIACEFASIFKNLGTEVTQLIRGENLLNGFDKDLSECLEKSMTSLGINLKFKNQLKSIKKINDGLESTLESGSKLLTDNILVATGREPSLKRLNLDTLNLKMDGIYLEVNELNKTSISNIFAIGDIVKRPNLTPVAIEQGRVFADNYFAALKRKVNYENIPKAVFTIPEISTVGLSEEKANEIYSEVNVQVFKCNFTPMSNTFKKNKSKCMLKLVVNKKNDKVLGCHMFGEAASEIIQMVAVSLNTGITKKDFDTTMALHPTISEEFVTMYG
+MFFLSIPQAWHLAGTWSEQLPNDSNLIGMSQTELMMTLHSIFVPLLLVISYFLFLKISKNESKKVKG,MTSTLPNDNIKNIDEKISNKLISEIIRDRIKSKGTRFSANDNIADFINPGELKVLEKEVASRIKDLLKSLVIDVDNDHNTQETAERVSKMYLNEVFKGRYHEQPKVTSFPNDKNLDEIYTVGPITVRSACSHHLVPILGECWIGIKPGSKVIGLSKFARVADWVFSRPHIQEEAVMILADEIEKLCEPKGLGIIVKAQHYCMKWRGVKEPNTSMINSVVRGDFRHDISLKQEFFELVRQQSSNNNY

README.md

@@ -0,0 +1,171 @@
+# ppiBTEP
+
+A Siamese (twin-branch) protein-protein interaction classifier built on ESM-1b ([Rives et al., 2021](https://doi.org/10.1073/pnas.2016239118)). Also designated SiameseBTPE (BERT-Twin Protein Encoder).
+
+![ppiBTEP Architecture](assets/ppiBTEP.png)
+
+## Overview
+
+ppiBTEP processes each protein independently through a shared ESM-1b encoder -- no cross-sequence attention is used between the two proteins. Each branch extracts the `[CLS]` token embedding from the final transformer layer, the two embeddings are concatenated, and a dropout + linear classification head produces binary interaction predictions with softmax probabilities.
+
+Unlike the cross-encoding approach (see [ppiDCE](https://github.com/kouroshSA/ppiDCE)), ppiBTEP must capture interaction-predictive features entirely from each protein's own sequence context. This makes it faster per pair and allows protein representations to be precomputed and reused, at the cost of not modeling direct inter-protein residue dependencies.
+
+The model was developed for the *Prochlorococcus marinus* MED4 interactome, where it serves as one component of a tri-model consensus framework (alongside [ppiGPLM](https://github.com/kouroshSA/ppiGPLM) and [ppiDCE](https://github.com/kouroshSA/ppiDCE)) for computational PPI screening.
+
+## Architecture
+
+| Parameter | Value |
+|-----------|-------|
+| Foundation | ESM-1b (facebook/esm1b_t33_650M_UR50S) |
+| Strategy | Siamese / twin-branch |
+| Layers | 12 default; 6, 8, 12, 16, or 18 selectable via --num_layers |
+| Classification | Concat [CLS_A, CLS_B] -> Dropout(0.1) -> Linear -> 2 |
+| Max sequence length | 1,024 tokens |
+| Optimizer | AdamW (lr = 1 x 10^-5) |
+| Loss | Cross-Entropy |
+
+### Siamese vs Cross-Encoder
+
+| | ppiDCE (Cross-Encoder) | ppiBTEP (Siamese) |
+|---|---|---|
+| Input | `[CLS] Seq_A [SEP] Seq_B` (joint) | `[CLS] Seq_A` and `[CLS] Seq_B` (separate) |
+| Cross-attention | Full bidirectional at every layer | None |
+| Classification | Single [CLS] -> Linear | Concat [CLS_A, CLS_B] -> Linear |
+| Complexity | O((n+m)^2) | O(n^2) + O(m^2) |
+| Speed | Slower (joint encoding) | Faster (independent, reusable) |
+
+## Installation
+
+### Prerequisites
+
+- Python 3.10+
+- CUDA-capable GPU (recommended)
+- conda (recommended) or pip
+
+### Setup
+
+```bash
+# Clone the repository
+git clone https://github.com/kouroshSA/ppiBTEP.git
+cd ppiBTEP
+
+# Create a conda environment
+conda create -n esm python=3.10
+conda activate esm
+pip install -r requirements.txt
+```
+
+## Repository Structure
+
+```
+ppiBTEP/
+|-- train_ppiBTPE3b.py                   # Training script
+|-- inference_ppiBTPE_2GPU.py            # Batch inference script (multi-GPU)
+|-- roc_analysis_color_threshold_F1e.py  # ROC curve analysis with F1 optimization
+|-- assets/
+|   +-- ppiBTEP.png                      # ASCII workflow diagram
+|-- requirements.txt
+|-- LICENSE
++-- README.md
+```
+
+## Usage
+
+### Data Format
+
+Training and inference use CSV files with columns: `seq1, seq2, label`
+
+- `seq1`, `seq2`: Amino acid sequences
+- `label`: `0` or `enemies` (non-interacting), `1` or `friends` (interacting)
+
+For inference-only input, only the first two columns are required.
+
+### Training
+
+```bash
+# Train from scratch with 12 layers
+python train_ppiBTPE3b.py \
+    --train_file train.csv \
+    --val_file val.csv \
+    --model_config facebook/esm1b_t33_650M_UR50S \
+    --num_layers 12 \
+    --freeze_layers 0 \
+    --epochs 20 \
+    --batch_size 2 \
+    --learning_rate 1e-5 \
+    --max_length 1024 \
+    --output_dir ./out \
+    --device cuda
+```
+
+#### Key training options
+
+- `--num_layers N`: Total transformer layers (6, 8, 12, 16, or 18)
+- `--freeze_layers N`: Freeze bottom N layers (use 0 for training from scratch)
+- `--checkpoint path.pth`: Resume from a saved checkpoint
+- `--model_config`: ESM model config (default: `facebook/esm1b_t33_650M_UR50S`)
+
+**Important:** When training from scratch, use `--freeze_layers 0` to ensure all layers (including embeddings) remain trainable. The default is 20, which would freeze most layers.
+
+### Inference
+
+```bash
+python inference_ppiBTPE_2GPU.py \
+    --model_path out/ppiBTPE_epoch_17.pth \
+    --model_config facebook/esm1b_t33_650M_UR50S \
+    --num_layers 12 \
+    --input_file test_pairs.csv \
+    --output_file predictions.csv \
+    --batch_size 4 \
+    --max_length 1024 \
+    --device cuda
+```
+
+Multi-GPU inference:
+```bash
+python inference_ppiBTPE_2GPU.py \
+    --model_path out/ppiBTPE_final.pth \
+    --model_config facebook/esm1b_t33_650M_UR50S \
+    --num_layers 12 \
+    --input_file test_pairs.csv \
+    --output_file predictions.csv \
+    --device cuda:0,1
+```
+
+Output CSV columns: `seq1, seq2, Prediction, Probability_Friends, Probability_Enemies`
+
+### ROC Analysis
+
+Evaluate model predictions using ROC curve analysis with threshold-colored visualization and F1 optimization:
+
+```bash
+python roc_analysis_color_threshold_F1e.py \
+    --input_csv probabilities.csv \
+    --output_file roc_curve.png
+```
+
+The input CSV should have two columns: PRS (positive) and RRS (random/negative) probability values.
+
+## Architecture Diagram
+
+The ASCII workflow diagram (`assets/ppiBTEP.png`) covers:
+- **A.** Siamese input strategy (independent per-protein encoding)
+- **B.** Model architecture (twin ESM-1b branches + concat classification head)
+- **C.** Training pipeline
+- **D.** Inference pipeline (multi-GPU)
+
+> Note: the diagram shows Softmax in the classification head for clarity, but
+> the implementation returns raw logits — softmax is applied implicitly by
+> CrossEntropyLoss during training and explicitly during inference.
+
+## Citation
+
+If you use this software, please cite:
+
+```
+Daakour, S. et al. (2026).
+```
+
+## License
+
+This project is licensed under the MIT License. See [LICENSE](LICENSE) for details.

inference_ppiBTPE_2GPU.py

@@ -0,0 +1,164 @@
+#!/usr/bin/env python3
+"""
+inference_ppiBTPE_2GPU.py — Batch inference for ppiBTEP / SiameseBTPE,
+supporting single-GPU, multi-GPU (DataParallel), and CPU execution.
+
+Inputs
+------
+CSV with at least 2 columns: seq1, seq2 (label column, if present, is ignored).
+
+Outputs
+-------
+CSV with columns: seq1, seq2, Prediction, Probability_Friends, Probability_Enemies
+
+Example (single GPU)
+--------------------
+    python inference_ppiBTPE_2GPU.py \\
+        --model_path out/ppiBTPE_epoch_17.pth \\
+        --model_config facebook/esm1b_t33_650M_UR50S \\
+        --num_layers 12 \\
+        --input_file test_pairs.csv \\
+        --output_file predictions.csv \\
+        --batch_size 4 \\
+        --max_length 1024 \\
+        --device cuda
+
+Example (multi-GPU)
+-------------------
+    python inference_ppiBTPE_2GPU.py \\
+        --model_path out/ppiBTPE_final.pth \\
+        --model_config facebook/esm1b_t33_650M_UR50S \\
+        --num_layers 12 \\
+        --input_file test_pairs.csv \\
+        --output_file predictions.csv \\
+        --device cuda:0,1
+"""
+import argparse
+import os
+import torch
+import torch.nn as nn
+from transformers import EsmModel, EsmTokenizer, EsmConfig
+import pandas as pd
+from tqdm import tqdm
+
+# Command-line arguments
+parser = argparse.ArgumentParser(
+    description='Inference using the trained ppiBTPE Siamese model for PPI prediction.'
+)
+parser.add_argument('--model_path', type=str, required=True, help='Path to the trained ppiBTPE checkpoint (.pth).')
+parser.add_argument('--model_config', type=str, default='facebook/esm1b_t33_650M_UR50S',
+                    help='ESM config name or path used during training.')
+parser.add_argument('--num_layers', type=int, required=True,
+                    help='Number of transformer layers used during training (for config override).')
+parser.add_argument('--num_labels', type=int, default=2, help='Number of output labels.')
+parser.add_argument('--input_file', type=str, required=True, help='CSV with protein pairs (seq1, seq2).')
+parser.add_argument('--output_file', type=str, required=True, help='Path to write predictions CSV.')
+parser.add_argument('--batch_size', type=int, default=4, help='Batch size for inference.')
+parser.add_argument('--max_length', type=int, default=1024, help='Max token length.')
+parser.add_argument('--device', type=str, default='cuda', help='Device: cpu or cuda or cuda:0,1')
+args = parser.parse_args()
+
+# Device setup
+def get_device(device_str):
+    if device_str == 'cpu':
+        return torch.device('cpu'), None
+    if ',' in device_str:
+        devs = [d.strip() for d in device_str.split(',')]
+        device = torch.device(devs[0])
+        device_ids = [int(d.split(':')[-1]) for d in devs]
+        return device, device_ids
+    else:
+        return torch.device(device_str), None
+
+device, device_ids = get_device(args.device)
+
+# Dataset
+class PPIDatasetInference(torch.utils.data.Dataset):
+    def __init__(self, csv_file, tokenizer, max_length):
+        self.data = pd.read_csv(csv_file)
+        self.tokenizer = tokenizer
+        self.max_length = max_length
+
+    def __len__(self):
+        return len(self.data)
+
+    def __getitem__(self, idx):
+        seq1 = self.data.iloc[idx, 0]
+        seq2 = self.data.iloc[idx, 1]
+        enc1 = self.tokenizer(seq1, truncation=True, padding='max_length',
+                              max_length=self.max_length, return_tensors='pt')
+        enc2 = self.tokenizer(seq2, truncation=True, padding='max_length',
+                              max_length=self.max_length, return_tensors='pt')
+        return {
+            'input_ids1': enc1.input_ids.squeeze(0),
+            'attention_mask1': enc1.attention_mask.squeeze(0),
+            'input_ids2': enc2.input_ids.squeeze(0),
+            'attention_mask2': enc2.attention_mask.squeeze(0),
+        }
+
+# Model definition matching training
+class SiameseBTPE(nn.Module):
+    def __init__(self, config, num_labels=2):
+        super(SiameseBTPE, self).__init__()
+        self.esm = EsmModel(config)
+        self.dropout = nn.Dropout(0.1)
+        self.classifier = nn.Linear(config.hidden_size * 2, num_labels)
+
+    def forward(self, input_ids1, attention_mask1, input_ids2, attention_mask2):
+        o1 = self.esm(input_ids=input_ids1, attention_mask=attention_mask1)
+        o2 = self.esm(input_ids=input_ids2, attention_mask=attention_mask2)
+        p1 = o1.last_hidden_state[:, 0, :]
+        p2 = o2.last_hidden_state[:, 0, :]
+        concat = torch.cat((p1, p2), dim=1)
+        out = self.dropout(concat)
+        logits = self.classifier(out)
+        return logits
+
+
+def main():
+    # Tokenizer & config
+    tokenizer = EsmTokenizer.from_pretrained(args.model_config)
+    config = EsmConfig.from_pretrained(args.model_config)
+    config.num_hidden_layers = args.num_layers
+    print(f'Overriding config to {args.num_layers} transformer layers.')
+
+    # Dataset & loader
+    ds = PPIDatasetInference(args.input_file, tokenizer, args.max_length)
+    loader = torch.utils.data.DataLoader(ds, batch_size=args.batch_size, shuffle=False)
+
+    # Model init & load
+    model = SiameseBTPE(config, num_labels=args.num_labels)
+    ckpt = torch.load(args.model_path, map_location='cpu')
+    model.load_state_dict(ckpt)
+
+    # DataParallel if needed
+    if device_ids:
+        model = nn.DataParallel(model, device_ids=device_ids)
+    model.to(device)
+    model.eval()
+
+    all_preds, all_probs = [], []
+    with torch.no_grad():
+        for batch in tqdm(loader, desc='Inference'):
+            ids1 = batch['input_ids1'].to(device)
+            mask1 = batch['attention_mask1'].to(device)
+            ids2 = batch['input_ids2'].to(device)
+            mask2 = batch['attention_mask2'].to(device)
+            logits = model(ids1, mask1, ids2, mask2)
+            probs = nn.functional.softmax(logits, dim=1)
+            preds = probs.argmax(dim=1)
+            all_preds.extend(preds.cpu().tolist())
+            all_probs.extend(probs.cpu().tolist())
+
+    # Map & save
+    label_map = {0: 'enemies', 1: 'friends'}
+    df = pd.read_csv(args.input_file)
+    df['Prediction'] = [label_map[p] for p in all_preds]
+    df['Probability_Friends'] = [p[1] for p in all_probs]
+    df['Probability_Enemies'] = [p[0] for p in all_probs]
+    os.makedirs(os.path.dirname(args.output_file), exist_ok=True)
+    df.to_csv(args.output_file, index=False)
+    print(f'Saved predictions to {args.output_file}')
+
+if __name__ == '__main__':
+    main()

requirements.txt

@@ -0,0 +1,7 @@
+torch>=2.0
+transformers>=4.30
+pandas
+tqdm
+numpy
+matplotlib
+scikit-learn

roc_analysis_color_threshold_F1e.py

@@ -0,0 +1,210 @@
+"""
+
+Notes:
+
+The script handles variable numbers of PRS and RRS probability values.
+It combines the probabilities and labels, computes the ROC curve, calculates the AUC (Area Under the Curve), and plots the ROC curve using Matplotlib.
+You can customize the script to read multiple PRS and RRS files by modifying the read_probabilities function and how you handle the input arguments.
+Dependencies:
+
+Python 3
+numpy
+matplotlib
+scikit-learn
+
+Explanation of the Area Under the Curve (AUC):
+
+The Area Under the Curve (AUC) refers to the area under the Receiver Operating Characteristic (ROC) curve. The ROC curve is a graphical representation of a classifier's performance across all classification thresholds. It plots the True Positive Rate (TPR) against the False Positive Rate (FPR) at various threshold settings.
+
+True Positive Rate (TPR), also known as Sensitivity or Recall, is the proportion of actual positives that are correctly identified.
+False Positive Rate (FPR) is the proportion of actual negatives that are incorrectly identified as positives.
+The AUC provides a single scalar value that summarizes the performance of the classifier:
+
+An AUC of 1.0 indicates a perfect classifier.
+An AUC of 0.5 suggests no discriminative ability (equivalent to random guessing).
+An AUC between 0.5 and 1.0 indicates the degree to which the classifier can distinguish between the positive and negative classes.
+Why is AUC important?
+
+More on interpreting the ROC Curve:
+
+The ROC curve plots the TPR against the FPR at various threshold levels.
+The closer the curve follows the left-hand border and then the top border of the ROC space, the better the classifier.
+The diagonal line represents the performance of a classifier that makes random guesses.
+Understanding AUC Values:
+
+AUC = 0.90-1.00: Excellent
+AUC = 0.80-0.90: Good
+AUC = 0.70-0.80: Fair
+AUC = 0.60-0.70: Poor
+AUC = 0.50-0.60: Fail
+
+
+
+Threshold-Independent: AUC measures the classifier's ability to rank predictions without being dependent on a specific threshold.
+Performance Metric: It provides a comprehensive measure of performance across all possible classification thresholds.
+In summary, the AUC quantifies the overall ability of the model to discriminate between positive and negative classes. A higher AUC indicates better model performance.
+
+
+
+F1 = 2 * ( (precision * recall) / (precision + recall) )
+
+precision = TP / (TP + FP)
+
+recall = TP / (TP + FN)
+
+
+You can adjust the decimal percision by changing ".6f" to desired value in  f'Best F1 Threshold: {best_thresh:.6f}'
+
+
+"""
+#
+
+# pip install numpy matplotlib scikit-learn
+
+# python roc_analysis_color_threshold_F1e.py --input_csv probabilities.csv --output_file roc_curve.png
+
+#!/usr/bin/env python
+
+#!/usr/bin/env python
+import argparse
+import numpy as np
+import matplotlib.pyplot as plt
+from sklearn.metrics import roc_curve, auc, f1_score
+import csv
+
+def read_probabilities_from_csv(filename):
+    """Read PRS and RRS probability values from a CSV file."""
+    prs_probs = []
+    rrs_probs = []
+    with open(filename, 'r') as csvfile:
+        reader = csv.reader(csvfile)
+        headers = next(reader)  # Skip the header row
+        for row in reader:
+            # Ensure there are at least two columns
+            if len(row) >= 2:
+                prs_value = row[0].strip()
+                rrs_value = row[1].strip()
+                # Append PRS probability if not empty
+                if prs_value:
+                    prs_probs.append(float(prs_value))
+                # Append RRS probability if not empty
+                if rrs_value:
+                    rrs_probs.append(float(rrs_value))
+    return prs_probs, rrs_probs
+
+def main():
+    parser = argparse.ArgumentParser(description='Compute ROC curve, best F1 score, and annotate thresholds.')
+    parser.add_argument('--input_csv', required=True, help='CSV file containing PRS and RRS probability values')
+    parser.add_argument('--output_file', default='roc_curve.png', help='Output file name for ROC curve plot')
+
+    args = parser.parse_args()
+
+    # Read probability values from CSV file
+    prs_probs, rrs_probs = read_probabilities_from_csv(args.input_csv)
+
+    # Assign labels
+    prs_labels = [1] * len(prs_probs)
+    rrs_labels = [0] * len(rrs_probs)
+
+    # Combine probabilities and labels
+    probs = np.array(prs_probs + rrs_probs)
+    labels = np.array(prs_labels + rrs_labels)
+
+    # Compute ROC curve and AUC
+    fpr, tpr, thresholds = roc_curve(labels, probs)
+    roc_auc = auc(fpr, tpr)
+
+    # Exclude infinite thresholds and thresholds outside [0, 1]
+    finite_idxs = np.where(np.isfinite(thresholds))[0]
+    fpr = fpr[finite_idxs]
+    tpr = tpr[finite_idxs]
+    thresholds = thresholds[finite_idxs]
+
+    # Filter thresholds within [0, 1]
+    valid_thresholds_idxs = np.where((thresholds >= 0) & (thresholds <= 1))[0]
+    fpr = fpr[valid_thresholds_idxs]
+    tpr = tpr[valid_thresholds_idxs]
+    thresholds = thresholds[valid_thresholds_idxs]
+
+    # Compute best F1 score across thresholds
+    best_f1 = -1.0
+    best_thresh = None
+    best_idx = None
+    for i, thresh in enumerate(thresholds):
+        predicted_labels = (probs >= thresh).astype(int)
+        current_f1 = f1_score(labels, predicted_labels)
+        if current_f1 > best_f1:
+            best_f1 = current_f1
+            best_thresh = thresh
+            best_idx = i
+
+    # Retrieve FPR and TPR for the best threshold
+    best_fpr = fpr[best_idx]
+    best_tpr = tpr[best_idx]
+
+    # Set global font
+    plt.rcParams['font.family'] = 'Arial'
+
+    # Create figure and colormap
+    fig, ax = plt.subplots(figsize=(10, 8))
+    norm = plt.Normalize(vmin=thresholds.min(), vmax=thresholds.max())
+    cmap = plt.cm.viridis
+
+    # Plot the ROC curve in segments, color-coded by threshold
+    for i in range(len(fpr) - 1):
+        x = fpr[i:i + 2]
+        y = tpr[i:i + 2]
+        z = thresholds[i]
+        ax.plot(x, y, color=cmap(norm(z)), lw=2.5)
+
+    # Diagonal line
+    ax.plot([0, 1], [0, 1], color='gray', lw=2, linestyle='--')
+
+    # Add a colorbar for thresholds
+    sm = plt.cm.ScalarMappable(cmap=cmap, norm=norm)
+    sm.set_array([])
+    cbar = fig.colorbar(sm, ax=ax)
+    cbar.set_label('Threshold', fontsize=16)
+    cbar.ax.tick_params(labelsize=14)
+
+    # Annotate a subset of thresholds on the ROC curve
+    num_thresholds_to_annotate = 10  # Number of thresholds to annotate
+    idxs = np.linspace(0, len(thresholds) - 1, num_thresholds_to_annotate).astype(int)
+    for idx in idxs:
+        thresh = thresholds[idx]
+        ax.annotate(f'{thresh:.2f}', xy=(fpr[idx], tpr[idx]),
+                     textcoords='offset points', xytext=(0, 10),
+                     ha='center', fontsize=12, color='blue')
+
+    # No red scatter point for the best threshold
+    # ax.scatter(best_fpr, best_tpr, color='red', s=100, zorder=5)
+
+    # Set axis limits and labels
+    ax.set_xlim([0.0, 1.0])
+    ax.set_ylim([0.0, 1.05])
+    ax.set_xlabel('False Positive Rate', fontsize=16)
+    ax.set_ylabel('True Positive Rate', fontsize=16)
+    ax.set_title('Receiver Operating Characteristic (ROC)', fontsize=18)
+    ax.tick_params(axis='both', which='major', labelsize=14)
+
+    # Add gridlines
+    ax.grid(True, linestyle='--', linewidth=0.5, alpha=0.7)
+
+    # Add legend with 3 decimal places
+    legend_text = (f'ROC curve (AUC = {roc_auc:.3f}, '
+                   f'Best F1 = {best_f1:.3f}, '
+                   f'Best F1 Threshold = {best_thresh:.3f})')
+    ax.legend([legend_text], loc="lower right", fontsize=12)
+
+    # Adjust layout
+    plt.tight_layout()
+
+    # Save and show the figure
+    plt.savefig(args.output_file, dpi=300, format='png')
+    plt.show()
+
+    print(f"ROC curve saved to {args.output_file}")
+    print(f"Best F1 Score: {best_f1:.3f} at threshold {best_thresh:.3f}")
+
+if __name__ == '__main__':
+    main()

train_ppiBTPE3b.py

@@ -0,0 +1,223 @@
+#!/usr/bin/env python3
+"""
+train_ppiBTPE3b.py — Train or fine-tune the ppiBTEP / SiameseBTPE model for
+protein-protein interaction (PPI) classification.
+
+Architecture
+------------
+SiameseBTPE: two branches with shared weights, each an ESM-1b encoder
+(facebook/esm1b_t33_650M_UR50S by default). Each branch produces a [CLS]
+embedding (last_hidden_state[:, 0, :], dim=1280). The two [CLS] embeddings
+are concatenated (dim=2560), passed through Dropout(0.1) and a Linear layer
+to 2 logits (CrossEntropyLoss; softmax applied at inference).
+
+Modes
+-----
+- From scratch:       --num_layers N --freeze_layers 0
+- Fine-tuning ESM-1b: omit --num_layers, set --freeze_layers >= 1
+- Resume:             --checkpoint <path/to/ppiBTPE_epoch_K.pth>
+
+Important
+---------
+When training from scratch, pass --freeze_layers 0 explicitly. The default is
+20, which would freeze most of the model.
+
+Data format
+-----------
+CSV with columns: seq1, seq2, label
+  - label = 1 or 'friends'  → interacting
+  - label = 0 or 'enemies'  → non-interacting
+
+Example
+-------
+    python train_ppiBTPE3b.py \\
+        --train_file train.csv \\
+        --val_file val.csv \\
+        --model_config facebook/esm1b_t33_650M_UR50S \\
+        --num_layers 12 \\
+        --freeze_layers 0 \\
+        --epochs 20 \\
+        --batch_size 2 \\
+        --learning_rate 1e-5 \\
+        --max_length 1024 \\
+        --output_dir ./out \\
+        --device cuda
+"""
+import argparse
+import os
+import torch
+import torch.nn as nn
+import pandas as pd
+from torch.utils.data import Dataset, DataLoader
+from transformers import EsmModel, EsmTokenizer, EsmConfig
+from tqdm import tqdm
+
+# Command-line arguments
+parser = argparse.ArgumentParser(
+    description='Train or fine-tune ppiBTPE Siamese model for PPI prediction.'
+)
+
+# Input files
+parser.add_argument('--train_file', type=str, required=True,
+                    help='Path to the training CSV file.')
+parser.add_argument('--val_file', type=str, required=True,
+                    help='Path to the validation CSV file.')
+parser.add_argument('--checkpoint', type=str, default=None,
+                    help='(Optional) Path to a .pth checkpoint to load before training/fine-tuning.')
+
+# Model parameters
+parser.add_argument('--model_config', type=str,
+                    default='facebook/esm1b_t33_650M_UR50S',
+                    help='ESM config name or path for architecture.')
+parser.add_argument('--num_labels', type=int, default=2,
+                    help='Number of output labels (e.g., 2 for binary classification).')
+parser.add_argument('--num_layers', type=int, default=None,
+                    help='Total transformer layers to initialize (scratch).')
+parser.add_argument('--freeze_layers', type=int, default=20,
+                    help='Number of bottom layers to freeze during fine-tuning.')
+
+# Training hyperparameters
+parser.add_argument('--epochs', type=int, default=3, help='Number of training epochs.')
+parser.add_argument('--batch_size', type=int, default=4, help='Batch size.')
+parser.add_argument('--learning_rate', type=float, default=1e-5, help='Learning rate.')
+parser.add_argument('--max_length', type=int, default=1024,
+                    help='Maximum sequence length for tokenization.')
+
+# Misc
+parser.add_argument('--output_dir', type=str, default='./',
+                    help='Directory to save checkpoints and final model.')
+parser.add_argument('--device', type=str, default='cuda', choices=['cpu','cuda'],
+                    help='Device to run training on.')
+args = parser.parse_args()
+
+# Device setup
+if torch.cuda.is_available() and args.device.startswith('cuda'):
+    device = torch.device(args.device)
+    n_gpu = torch.cuda.device_count()
+    print(f"GPUs available: {n_gpu}")
+else:
+    device = torch.device('cpu')
+    n_gpu = 0
+    print("Using CPU.")
+
+# Dataset definition
+class SiamesePPIDataset(Dataset):
+    def __init__(self, csv_file, tokenizer, max_length):
+        self.data = pd.read_csv(csv_file)
+        self.tokenizer = tokenizer
+        self.max_length = max_length
+    def __len__(self):
+        return len(self.data)
+    def __getitem__(self, idx):
+        seq1 = self.data.iloc[idx,0]
+        seq2 = self.data.iloc[idx,1]
+        lbl = self.data.iloc[idx,2]
+        # map labels
+        if isinstance(lbl, str):
+            label = 1 if lbl=='friends' else 0
+        else:
+            label = int(lbl)
+        enc1 = self.tokenizer(seq1, truncation=True, padding='max_length',
+                               max_length=self.max_length, return_tensors='pt')
+        enc2 = self.tokenizer(seq2, truncation=True, padding='max_length',
+                               max_length=self.max_length, return_tensors='pt')
+        return {
+            'input_ids1': enc1.input_ids.squeeze(0),
+            'attention_mask1': enc1.attention_mask.squeeze(0),
+            'input_ids2': enc2.input_ids.squeeze(0),
+            'attention_mask2': enc2.attention_mask.squeeze(0),
+            'labels': torch.tensor(label, dtype=torch.long)
+        }
+
+# Model definition
+class SiameseBTPE(nn.Module):
+    def __init__(self, config, num_labels=2):
+        super().__init__()
+        self.esm = EsmModel(config)
+        self.dropout = nn.Dropout(0.1)
+        self.classifier = nn.Linear(config.hidden_size*2, num_labels)
+    def forward(self, id1, mask1, id2, mask2):
+        o1 = self.esm(input_ids=id1, attention_mask=mask1)
+        o2 = self.esm(input_ids=id2, attention_mask=mask2)
+        p1 = o1.last_hidden_state[:,0,:]
+        p2 = o2.last_hidden_state[:,0,:]
+        x = torch.cat((p1,p2), dim=1)
+        x = self.dropout(x)
+        return self.classifier(x)
+
+# Main training loop
+
+def main():
+    tokenizer = EsmTokenizer.from_pretrained(args.model_config)
+    config = EsmConfig.from_pretrained(args.model_config)
+    if args.num_layers is not None:
+        config.num_hidden_layers = args.num_layers
+        print(f"Using {args.num_layers} layers (override)")
+
+    # datasets + loaders
+    train_ds = SiamesePPIDataset(args.train_file, tokenizer, args.max_length)
+    val_ds   = SiamesePPIDataset(args.val_file,   tokenizer, args.max_length)
+    train_loader = DataLoader(train_ds, batch_size=args.batch_size, shuffle=True)
+    val_loader   = DataLoader(val_ds,   batch_size=args.batch_size, shuffle=False)
+
+    model = SiameseBTPE(config, num_labels=args.num_labels)
+    # load checkpoint if provided
+    if args.checkpoint:
+        state = torch.load(args.checkpoint, map_location='cpu')
+        model.load_state_dict(state, strict=False)
+        print(f"Loaded checkpoint: {args.checkpoint}")
+
+    # freeze layers
+    total = len(model.esm.encoder.layer)
+    to_freeze = min(args.freeze_layers, total)
+    for param in model.esm.embeddings.parameters(): param.requires_grad=False
+    for layer in model.esm.encoder.layer[:to_freeze]:
+        for p in layer.parameters(): p.requires_grad=False
+    print(f"Frozen {to_freeze}/{total} layers")
+
+    # device
+    model.to(device)
+    if n_gpu>1: model = nn.DataParallel(model)
+
+    optim = torch.optim.AdamW(filter(lambda p: p.requires_grad, model.parameters()),
+                              lr=args.learning_rate)
+    crit  = nn.CrossEntropyLoss()
+    os.makedirs(args.output_dir, exist_ok=True)
+
+    for e in range(args.epochs):
+        print(f"Epoch {e+1}/{args.epochs}")
+        model.train()
+        train_loss=0
+        for b in tqdm(train_loader, desc='Train'):
+            optim.zero_grad()
+            logits = model(b['input_ids1'].to(device), b['attention_mask1'].to(device),
+                           b['input_ids2'].to(device), b['attention_mask2'].to(device))
+            loss = crit(logits, b['labels'].to(device))
+            loss.backward(); optim.step()
+            train_loss+=loss.item()
+        print(f"Train loss: {train_loss/len(train_loader):.4f}")
+
+        model.eval()
+        val_loss, correct, total = 0,0,0
+        for b in tqdm(val_loader, desc='Val'):
+            with torch.no_grad():
+                logits = model(b['input_ids1'].to(device), b['attention_mask1'].to(device),
+                               b['input_ids2'].to(device), b['attention_mask2'].to(device))
+                loss = crit(logits, b['labels'].to(device))
+                val_loss+=loss.item()
+                preds=logits.argmax(dim=1)
+                correct+=(preds==b['labels'].to(device)).sum().item()
+                total+=len(preds)
+        print(f"Val loss: {val_loss/len(val_loader):.4f}, Acc: {correct/total:.4f}")
+
+        # save
+        path = os.path.join(args.output_dir, f"ppiBTPE_epoch_{e+1}.pth")
+        torch.save(model.module.state_dict() if n_gpu>1 else model.state_dict(), path)
+        print(f"Saved {path}")
+
+    final = os.path.join(args.output_dir, 'ppiBTPE_final.pth')
+    torch.save(model.module.state_dict() if n_gpu>1 else model.state_dict(), final)
+    print(f"Saved final model: {final}")
+
+if __name__=='__main__':
+    main()