Update app.py
Browse files
app.py
CHANGED
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@@ -46,9 +46,9 @@ def extract_features_app(seq: str) -> pd.DataFrame:
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if len(seq) < 2:
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physchem_features = [0]*11
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else:
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-
hydro = np.mean([h(dp, hydrophobicity_scale) for dp in dipeptides_seq])
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mw = np.mean([h(dp, aa_mass) for dp in dipeptides_seq])
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charge = np.mean([h(dp, aa_charge) for dp in dipeptides_seq])
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aromatic = np.mean([(dp[0] in 'FWY') + (dp[1] in 'FWY') for dp in dipeptides_seq]) / 2.0
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pI = np.mean([h(dp, {aa: 7 + (int(aa in 'KRH') - int(aa in 'DE')) for aa in aa_list}) for dp in dipeptides_seq])
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instability = np.mean([((dp[0] in 'DEKR') + (dp[1] in 'DEKR')) / 2.0 for dp in dipeptides_seq])
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if len(seq) < 2:
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physchem_features = [0]*11
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| 48 |
else:
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mw = np.mean([h(dp, aa_mass) for dp in dipeptides_seq])
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charge = np.mean([h(dp, aa_charge) for dp in dipeptides_seq])
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+
hydro = np.mean([h(dp, hydrophobicity_scale) for dp in dipeptides_seq])
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aromatic = np.mean([(dp[0] in 'FWY') + (dp[1] in 'FWY') for dp in dipeptides_seq]) / 2.0
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pI = np.mean([h(dp, {aa: 7 + (int(aa in 'KRH') - int(aa in 'DE')) for aa in aa_list}) for dp in dipeptides_seq])
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instability = np.mean([((dp[0] in 'DEKR') + (dp[1] in 'DEKR')) / 2.0 for dp in dipeptides_seq])
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