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Author:
None
License:
Modified MIT License for Academic and Non-Commercial Use Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Softwar...
Summary:
A comprehensive accurate assessment approach for deep learning based molecular docking
Latest version:
0.1.4
Required dependencies:
biopandas
|
biopython
|
dm-tree
|
e3nn
|
einops
|
ml-collections
|
modelcif
|
networkx
|
omegaconf
|
pandas
|
prody
|
prolif
|
py3dmol
|
pybel
|
pyyaml
|
rdkit
|
rdkit-pypi
|
scipy
|
seaborn
|
spyrmsd
|
torch
|
torch-geometric
|
torchaudio
|
torchvision
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