/tools/ml-drug-discovery
ml-drug-discovery
nrflynn2/ml-drug-discovery
summary
This repository serves as a companion to the book 'Machine Learning for Drug Discovery', providing code and data for various machine learning techniques applied to drug discovery. It covers topics such as ligand-based screening, generative models for de novo design, and structure-based drug design, making it a valuable resource for researchers in the field.
description
The official repository for the book "Machine Learning for Drug Discovery" (Manning Publications)
topics
cheminformaticsdeep-learningmachine-learningmedicinal-chemistrydrug-discoverymedicine-applicationsnotebooksaipythonpytorch
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