| DMS_id,DMS_filename,UniProt_ID,taxon,source_organism,target_seq,seq_len,includes_multiple_mutants,DMS_total_number_mutants,DMS_number_multiple_mutants,DMS_binarization_cutoff,DMS_binarization_method,first_author,title,year,jo,molecule_name,selection_assay,selection_type,ProteinGym_version,coarse_selection_type | |
| CAPSD_AAV2S_Sinai_2021,CAPSD_AAV2S_Sinai_2021.csv,CAPSD_AAV2S,Virus,Adeno-associated virus 2,MAADGYLPDWLEDTLSEGIRQWWKLKPGPPPPKPAERHKDDSRGLVLPGYKYLGPFNGLDKGEPVNEADAAALEHDKAYDRQLDSGDNPYLKYNHADAEFQERLKEDTSFGGNLGRAVFQAKKRVLEPLGLVEEPVKTAPGKKRPVEHSPVEPDSSSGTGKAGQQPARKRLNFGQTGDADSVPDPQPLGQPPAAPSGLGTNTMATGSGAPMADNNEGADGVGNSSGNWHCDSTWMGDRVITTSTRTWALPTYNNHLYKQISSQSGASNDNHYFGYSTPWGYFDFNRFHCHFSPRDWQRLINNNWGFRPKRLNFKLFNIQVKEVTQNDGTTTIANNLTSTVQVFTDSEYQLPYVLGSAHQGCLPPFPADVFMVPQYGYLTLNNGSQAVGRSSFYCLEYFPSQMLRTGNNFTFSYTFEDVPFHSSYAHSQSLDRLMNPLIDQYLYYLSRTNTPSGTTTQSRLQFSQAGASDIRDQSRNWLPGPCYRQQRVSKTSADNNNSEYSWTGATKYHLNGRDSLVNPGPAMASHKDDEEKFFPQSGVLIFGKQGSEKTNVDIEKVMITDEEEIRTTNPVATEQYGSVSTNLQRGNRQAATADVNTQGVLPGMVWQDRDVYLQGPIWAKIPHTDGHFHPSPLMGGFGLKHPPPQILIKNTPVPANPSTTFSAAKFASFITQYSTGQVSVEIEWELQKENSKRWNPEIQYTSNYNKSVNVDFTVDTNGVYSEPRPIGTRYLTRNL,735,TRUE,42328,41796,-1.2,manual,Sinai,Generative AAV capsid diversification by latent interpolation,2021,10.1101/2021.04.16.440236,AAV,viability for AAV capsid production,,0.1,OrganismalFitness | |
| D7PM05_CLYGR_Somermeyer_2022,D7PM05_CLYGR_Somermeyer_2022.csv,D7PM05_CLYGR,Eukaryote,Clytia gregaria,MTALTEGAKLFEKEIPYITELEGDVEGMKFIIKGEGTGDATTGTIKAKYICTTGDLPVPWATILSSLSYGVFCFAKYPRHIADFFKSTQPDGYSQDRIISFDNDGQYDVKAKVTYENGTLYNRVTVKGTGFKSNGNILGMRVLYHSPPHAVYILPDRKNGGMKIEYNKAFDVMGGGHQMARHAQFNKPLGAWEEDYPLYHHLTVWTSFGKDPDDDETDHLTIVEVIKAVDLETYR,235,TRUE,24515,23346,12500,manual,Somermeyer,Heterogeneity of the GFP fitness landscape and data-driven protein design,2022,10.7554/eLife.75842,Green fluorescent protein cgreGFP,Fluorescence,FACS,1,Activity | |
| F7YBW8_MESOW_Aakre_2015,F7YBW8_MESOW_Aakre_2015.csv,F7YBW8_MESOW,Prokaryote,Mesorhizobium opportunistum (strain LMG 24607 / HAMBI 3007 / WSM2075),MANVEKMSVAVTPQQAAVMREAVEAGEYATASEIVREAVRDWLAKRELRHDDIRRLRQLWDEGKASGRPEPVDFDALRKEARQKLTEVPPNGR,93,TRUE,9192,9155,-0.001724,median,Aakre,Evolving New Protein-Protein Interaction Specificity through Promiscuous Intermediates,2015,10.1016/j.cell.2015.09.055,Antitoxin ParD3,fitness,Growth (antitoxin neutralization of ParE3),0.1,OrganismalFitness | |
| GFP_AEQVI_Sarkisyan_2016,GFP_AEQVI_Sarkisyan_2016.csv,GFP_AEQVI,Eukaryote,Aequorea victoria,MSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLSYGVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITHGMDELYK,238,TRUE,51714,50630,2.5,manual,Sarkisyan,Local fitness landscape of the green fluorescent protein,2016,10.1038/nature17995,GFP,Fluorescence,FACS,0.1,Activity | |
| HIS7_YEAST_Pokusaeva_2019,HIS7_YEAST_Pokusaeva_2019.csv,HIS7_YEAST,Eukaryote,Saccharomyces cerevisiae,MTEQKALVKRITNETKIQIAISLKGGPLAIEHSIFPEKEAEAVAEQATQSQVINVHTGIGFLDHMIHALAKHSGWSLIVECIGDLHIDDHHTTEDCGIALGQAFKEALGAVRGVKRFGSGFAPLDEALSRAVVDLSNRPYAVVELGLQREKVGDLSCEMIPHFLESFAEASRITLHVDCLRGKNDHHRSESAFKALAVAIREATSPNGTNDVPSTKGVLM,220,TRUE,496137,495969,0.3,manual,Pokusaeva,An experimental assay of the interactions of amino acids from orthologous sequences shaping a complex fitness landscape,2019,10.1371/journal.pgen.1008079,IGP dehydratase (HIS3),Growth,Growth,0.1,OrganismalFitness | |
| PHOT_CHLRE_Chen_2023,PHOT_CHLRE_Chen_2023.csv,PHOT_CHLRE,Eukaryote,Chlamydomonas reinhardtii,AGLRHTFVVADATLPDCPLVYASEGFYAMTGYGPDEVLGHNARFLQGEGTDPKEVQKIRDAIKKGEACSVRLLNYRKDGTPFWNLLTVTPIKTPDGRVSKFVGVQVDVTSKTEGKALA,118,TRUE,167529,165407,0.631701888,median,Chen,Deep Mutational Scanning of an Oxygen-Independent Fluorescent Protein CreiLOV for Comprehensive Profiling of Mutational and Epistatic Effects,2023,10.1021/acssynbio.2c00662,Phototropin,Fluorescence,FACS,1,Activity | |
| Q6WV13_9MAXI_Somermeyer_2022,Q6WV13_9MAXI_Somermeyer_2022.csv,Q6WV12_9MAXI,Eukaryote,Pontellina plumata,MPAMKIECRITGTLNGVEFELVGGGEGTPEQGRMTNKMKSTKGALTFSPYLLSHVMGYGFYHFGTYPSGYENPFLHAINNGGYTNTRIEKYEDGGVLHVSFSYRYEAGRVIGDFKVVGTGFPEDSVIFTDKIIRSNATVEHLHPMGDNVLVGSFARTFSLRDGGYYSFVVDSHMHFKSAIHPSILQNGGPMFAFRRVEELHSNTELGIVEYQHAFKTPIAFA,222,TRUE,31401,30260,15721.24977,median,Somermeyer,Heterogeneity of the GFP fitness landscape and data-driven protein design,2022,10.7554/eLife.75842,Green fluorescent protein ppluGFP2,Fluorescence,FACS,1,Activity | |
| Q8WTC7_9CNID_Somermeyer_2022,Q8WTC7_9CNID_Somermeyer_2022.csv,Q8WTC7_9CNID,Eukaryote,Aequorea macrodactyla,MSKGEELFTGIVPVLIELDGDVHGHKFSVRGEGEGDADYGKLEIKFICTTGKLPVPWPTLVTTLSYGILCFARYPEHMKMNDFFKSAMPEGYIQERTIFFQDDGKYKTRGEVKFEGDTLVNRIELKGMDFKEDGNILGHKLEYNFNSHNVYIMPDKANNGLKVNFKIRHNIEGGGVQLADHYQTNVPLGDGPVLIPINHYLSCQTAISKDRNETRDHMVFLEFFSACGHTHGMDELYK,238,TRUE,33510,32309,5000,manual,Somermeyer,Heterogeneity of the GFP fitness landscape and data-driven protein design,2022,10.7554/eLife.75842,Green fluorescent protein amacGFP,Fluorescence,FACS,1,Activity | |
| SPG1_STRSG_Wu_2016,SPG1_STRSG_Wu_2016.csv,SPG1_STRSG,Prokaryote,Streptococcus sp. group G,MEKEKKVKYFLRKSAFGLASVSAAFLVGSTVFAVDSPIEDTPIIRNGGELTNLLGNSETTLALRNEESATADLTAAAVADTVAAAAAENAGAAAWEAAAAADALAKAKADALKEFNKYGVSDYYKNLINNAKTVEGIKDLQAQVVESAKKARISEATDGLSDFLKSQTPAEDTVKSIELAEAKVLANRELDKYGVSDYHKNLINNAKTVEGVKELIDEILAALPKTDQYKLILNGKTLKGETTTEAVDAATAEKVFKQYANDNGVDGEWTYDDATKTFTVTEKPEVIDASELTPAVTTYKLVINGKTLKGETTTKAVDAETAEKAFKQYANDNGVDGVWTYDDATKTFTVTEMVTEVPGDAPTEPEKPEASIPLVPLTPATPIAKDDAKKDDTKKEDAKKPEAKKDDAKKAETLPTTGEGSNPFFTAAALAVMAGAGALAVASKRKED,448,TRUE,149360,149284,0.122438875,median,Wu,Adaptation in protein fitness landscapes is facilitated by indirect paths,2016,10.7554/eLife.16965,GB1,Binding (IgG),binding,1,Binding | |
| Q65J43_BACLD_g4_Thomas_2025,Q65J43_BACLD_g4_Thomas_2025.csv,Q65J43_BACLD,Prokaryote,Bacillus licheniformis,MIKKWAVHLLFSALVLLGLSGGAAYSPQHAEGAARYDDVLYFPASRYPETGAHISDAIKAGHADVCTIERSGADKRRQESLKGIPTKPGFDRDEWPMAMCEEGGKGASVRYVSSSDNRGAGSWVGNRLNGYADGTRILFIVQ,142,TRUE,15404,15183,1.33474,WT,Thomas,Engineering highly active nuclease enzymes with machine learning and high-throughput screening,2025,10.1016/j.cels.2025.101236,NucB,Fluorescence,FACS,,Activity | |
| TRPB1_THEMA_Tm9D8_Johnston_2024,TRPB1_THEMA_Tm9D8_Johnston_2024.csv,TRPB1_THEMA,Prokaryote,Escherichia coli,MKGYFGPYGGQYVPEILMGALEELEAAYEGIMKDESFWKEFNDLLRDYAGRPTPLYFARRLSEKYGARVYLKREDLLHTGAHKINNAIGQVLLAKLMGKTRIIAETGAGQHGVATATAAALFGMECVIYMGEEDTIRQKLNVERMKLLGAKVVPVKSGSRTLKDAIDEALRDWITNLQTTYYVFGSVVGPHPYPIIVRNFQKVIGEETKKQIPEKEGRLPDYIVACVSGGSNAAGIFYPFIDSGVKLIGVEAGGEGLETGKHAASLLKGKIGYLHGSKTFVLQDDWGQVQVSHSVSAGLDYSGVGPEHAYWRETGKVLYDAVTDEEALDAFIELSRLEGIIPALESSHALAYLKKINIKGKVVVVNLSGRGDKDLESVLNHPYVRERIR,389,TRUE,159129,159052,0.40807,WT,Johnston,A combinatorially complete epistatic fitness landscape in an enzyme active site,2024,10.1073/pnas.2400439121,TrpB,Growth,Growth,,Stability | |
| VH14_Li_2023,VH14_Li_2023.csv,,Human,Homo sapiens,EVQLVETGGGLVQPGGSLRLSCAASGFTLNSYGISWVRQAPGKGPEWVSVIYSDGRRTFYGDSVKGRFTISRDTSTNTVYLQMNSLRVEDTAVYYCAKGRAAGTFDSWGQGTLVTVSSGGGGSGGGGSGGGGSDVVMTQSPESLAVSLGERATISCKSSQSVLYESRNKNSVAWYQQKAGQPPKLLIYWASTRESGVPDRFSGSGSGTDFTLTISSLQAEDAAVYYCQQYHRLPLSFGGGTKVEIK,246,TRUE,35889,35452,-0.787659364,WT,Li,Machine learning optimization of candidate antibody yields highly diverse sub-nanomolar affinity antibody libraries,2023,10.1038/s41467-023-39022-2,scFv,Binding,,,Binding |