remove hetero atoms
Browse files- data/pdbbind_with_contacts.parquet +2 -2
- pdbbind.ipynb +27 -47
- pdbbind.py +2 -1
data/pdbbind_with_contacts.parquet
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pdbbind.ipynb
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"dask.array<blocks, shape=(700, 2046, 510), dtype=float32, chunksize=(700, 2046, 510), chunktype=numpy.ndarray>"
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" name contacts_5A\n",
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"0 10gs [
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"1 184l [39945, 39946, 39947, 39948, 43010, 43012, 430...\n",
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"%%time\n",
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"df_all_contacts = ddf_all.compute()"
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"source": [
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"from sklearn.preprocessing import StandardScaler\n",
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" <tr>\n",
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" <th>0</th>\n",
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" name contacts_5A\n",
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"0 10gs [3083, 3084, 3086, 3087, 3088, 3089, 3094, 309...\n",
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"%%time\n",
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"df_all_contacts = ddf_all.compute()"
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"source": [
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"scaler = StandardScaler()\n",
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pdbbind.py
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close_residues = [neighbor_search.search(center=t, level='R', radius=cutoff) for t in token_pos]
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first_residue = next(structure.get_residues()).get_id()[1]
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residue_id = [[c.get_id()[1]-first_residue for c in query
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# contact map
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contact_map = np.zeros((max_seq, max_smiles),dtype=np.float32)
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close_residues = [neighbor_search.search(center=t, level='R', radius=cutoff) for t in token_pos]
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first_residue = next(structure.get_residues()).get_id()[1]
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residue_id = [[c.get_id()[1]-first_residue for c in query if not c.get_id()[0].startswith(('H','W'))]
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for query in close_residues] # zero-based, exclude hetero atoms
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# contact map
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contact_map = np.zeros((max_seq, max_smiles),dtype=np.float32)
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