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View Code? Open in Web Editor NEWIn silico platform to analize MD trajectories using metrics, clustering and machine&deep learning techniques
Home Page: https://nbdsl.github.io/modtox/
License: Other
In silico platform to analize MD trajectories using metrics, clustering and machine&deep learning techniques
Home Page: https://nbdsl.github.io/modtox/
License: Other
I got problems with the package "parse" since even though was installed couldn't run the program without getting "no module named parse". I think it has to be related with an incompatibility between python's versions (2.7 / 3). To solve this issue "manually", just rewrite few lines of different py-files in ../chembl_websource_client/ (e.g. replacing "from urllib.parse import urlparse" to "from urlparse import urlparse") so that could be executed with python2.7
modtox/data/dude.py:15: in
from chembl_webresource_client.unichem import unichem_client as unichem
../../../conda/envs/tenv/lib/python2.7/site-packages/chembl_webresource_client/unichem.py:5: in
from urllib.parse import urlencode
E ImportError: No module named parse
In modtox/data/dude.py:15:
try:
from urllib.parse import urlparse
except ImportError:
from urlparse import urlparse
We should check the performances over an external dataset.
Add three more components in UMAP & PCA plot which give a meaning of how different are the 2D points in further dimensions.
Wrong indexing when reading from glide csv: molecules stored in different order in csv and sdf file.
Use --dude flag to build model from scratch. Get to know the code. See input/output and understand the workflow
Found AUC-ROC weird values. Check sklearn function.
Mistaken samples name are not right becoming confusing when debugging. We should have a look
We should implement an applicability domain method to discard outliers when training and non-predictable instances.
We could include the ones below to the models uncertainty:
1- Applicability domain
2- Drop out
We should improve installation : fix conflict between packages ?
Right now xglide is supported but not SMP. Work together with Dani and Lucia to make it work there
Description.......
Start building a base model for structural alert. Start from the CNN we have.
Compute the thresholds for all the training molecules and the euclidean distances from each of the the test-set to the the train-set and count how many thresholds include each one of those molecules. Finally order molecules and write a txt file.
Current method for plotting confusion matrix is only working well with python2.7. We should explore new solutions for python3.
Dude.py script is a little messed up, so should be improved.
Check all available CYPs and the datasets
Delete some useless files and cover the others.
Build model CYP11A1 from chembl to understand how it works and what is the output
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