There are 95 repositories under drug-discovery topic.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
A powerful and flexible machine learning platform for drug discovery
Therapeutics Commons: Artificial Intelligence Foundation for Therapeutic Science
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
Python package for graph neural networks in chemistry and biology
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
[IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models
Molecular Processing Made Easy.
Interaction Fingerprints for protein-ligand complexes and more
Allegro is an open-source code for building highly scalable and accurate equivariant deep learning interatomic potentials
🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting file formats and analyzing the results.
P2Rank: Protein-ligand binding site prediction tool based on machine learning. Stand-alone command line program / Java library for predicting ligand binding pockets from protein structure.
EquiDock: geometric deep learning for fast rigid 3D protein-protein docking
Deep generative models of 3D grids for structure-based drug discovery
MoleculeKit: Your favorite molecule manipulation kit
The Ersilia Model Hub, a repository of AI/ML models for infectious and neglected disease research.
Multi-modal Molecule Structure-text Model for Text-based Editing and Retrieval, Nat Mach Intell 2023 (https://www.nature.com/articles/s42256-023-00759-6)
A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.
A curated list of resources for machine learning for small-molecule drug discovery
[ICLR'23 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
A collection of research papers, datasets and software related to knowledge graphs for drug discovery. Accompanies the paper "A review of biomedical datasets relating to drug discovery: a knowledge graph perspective" (Briefings in Bioinformatics, 2022)
An open, extensible Python framework for GPU-accelerated alchemical free energy calculations.