Spaces:
Running
Running
Commit
·
b12804e
1
Parent(s):
5f5b698
Update code/modbaseModelAdd.py
Browse files- code/modbaseModelAdd.py +3 -6
code/modbaseModelAdd.py
CHANGED
@@ -217,14 +217,8 @@ def addModbaseModels(dataframe, path_to_input_files, path_to_output_files):
|
|
217 |
include_hetatms=True,
|
218 |
outdir=None, force_rerun=False, file_type='pdb')
|
219 |
filename = Path(path_to_output_files / 'freesasa_files' / f'{model_id.lower()}.txt')
|
220 |
-
st.write('filename', filename)
|
221 |
-
st.write('varPos', varPos)
|
222 |
-
st.write('wt', wt)
|
223 |
-
st.write('protein', protein)
|
224 |
st.write('path_to_output_files', path_to_output_files)
|
225 |
sasa_val = sasa(protein, varPos, wt, 1, filename, path_to_output_files, file_type='pdb')
|
226 |
-
st.write('sasa', sasa_val)
|
227 |
-
st.write('model_id', model_id)
|
228 |
with open(path_to_output_files / 'modbase_structures_individual'/ f'{model_id}.txt', encoding="utf8") as m:
|
229 |
|
230 |
lines = m.readlines()
|
@@ -263,6 +257,8 @@ def addModbaseModels(dataframe, path_to_input_files, path_to_output_files):
|
|
263 |
'model_id': model_id, 'coordinates': coordDict,
|
264 |
'AAonPDB': AAonPDB, 'coordVAR': coordVAR, 'sasa':sasa_val}
|
265 |
modbase_reduced = modbase_reduced.append(new_row, ignore_index=True)
|
|
|
|
|
266 |
modbase_reduced = modbase_reduced[['uniprotID', 'quality_score', 'model_id', 'coordinates', 'AAonPDB', 'coordVAR', 'sasa']]
|
267 |
st.write('DF')
|
268 |
st.write(dataframe)
|
@@ -296,6 +292,7 @@ def addModbaseModels(dataframe, path_to_input_files, path_to_output_files):
|
|
296 |
no_modbase_no_Coord = modbase[pd.isna(modbase['coordVAR'])]
|
297 |
no_modbase = pd.concat([no_modbase, no_modbase_no_Coord])
|
298 |
modbase = modbase[~pd.isna(modbase['coordVAR'])]
|
|
|
299 |
st.write(modbase[['datapoint', 'model_id', 'sasa']])
|
300 |
no_modbase = no_modbase[keep_cols]
|
301 |
return modbase, no_modbase
|
|
|
217 |
include_hetatms=True,
|
218 |
outdir=None, force_rerun=False, file_type='pdb')
|
219 |
filename = Path(path_to_output_files / 'freesasa_files' / f'{model_id.lower()}.txt')
|
|
|
|
|
|
|
|
|
220 |
st.write('path_to_output_files', path_to_output_files)
|
221 |
sasa_val = sasa(protein, varPos, wt, 1, filename, path_to_output_files, file_type='pdb')
|
|
|
|
|
222 |
with open(path_to_output_files / 'modbase_structures_individual'/ f'{model_id}.txt', encoding="utf8") as m:
|
223 |
|
224 |
lines = m.readlines()
|
|
|
257 |
'model_id': model_id, 'coordinates': coordDict,
|
258 |
'AAonPDB': AAonPDB, 'coordVAR': coordVAR, 'sasa':sasa_val}
|
259 |
modbase_reduced = modbase_reduced.append(new_row, ignore_index=True)
|
260 |
+
st.write('modbase_reduced')
|
261 |
+
st.write(modbase_reduced)
|
262 |
modbase_reduced = modbase_reduced[['uniprotID', 'quality_score', 'model_id', 'coordinates', 'AAonPDB', 'coordVAR', 'sasa']]
|
263 |
st.write('DF')
|
264 |
st.write(dataframe)
|
|
|
292 |
no_modbase_no_Coord = modbase[pd.isna(modbase['coordVAR'])]
|
293 |
no_modbase = pd.concat([no_modbase, no_modbase_no_Coord])
|
294 |
modbase = modbase[~pd.isna(modbase['coordVAR'])]
|
295 |
+
st.write('FINAL MODBASE BEFORE LEAVING')
|
296 |
st.write(modbase[['datapoint', 'model_id', 'sasa']])
|
297 |
no_modbase = no_modbase[keep_cols]
|
298 |
return modbase, no_modbase
|