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Author:
Kelyn Paul Njeri
Summary:
Causal drug target discovery via Pearl's do-calculus — distinguishes genuine causal targets from correlational bystanders
Latest version:
0.3.1
Required dependencies:
biopython
|
causal-learn
|
chembl-downloader
|
chembl-webresource-client
|
dowhy
|
fastapi
|
gemmi
|
gymnasium
|
jinja2
|
matplotlib
|
meeko
|
networkx
|
notebook
|
numpy
|
polars
|
psycopg2-binary
|
py3dmol
|
pydantic
|
pyvis
|
pyyaml
|
rdkit
|
redis
|
requests
|
rich
|
scikit-learn
|
scipy
|
seaborn
|
stable-baselines3
|
tomli-w
|
torch
|
torch-geometric
|
tqdm
|
typer
Optional dependencies:
fair-esm
|
stable-baselines3
|
vina
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