drug-discovery
There are 761 repositories under drug-discovery topic.
awesome-small-molecule-ml
A curated list of resources for machine learning for small-molecule drug discovery
moleculekit
MoleculeKit: Your favorite molecule manipulation kit
TxGNN
TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design
rdkit-js
A powerful cheminformatics and molecule rendering toolbelt for JavaScript, powered by RDKit .
Fragmenstein
Merging, linking and placing compounds by stitching bound compounds together like a reanimated corpse
Deep-Drug-Coder
A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.
yank
An open, extensible Python framework for GPU-accelerated alchemical free energy calculations.
chemml
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
DeeplyTough
DeeplyTough: Learning Structural Comparison of Protein Binding Sites
drug-computing
Educational materials for, and related to, UC Irvine's Drug Discovery Computing Techniques course (PharmSci 175/275), currently taught by David Mobley.
FlowMol
Mixed continous/categorical flow-matching model for de novo molecule generation.
ChatDrug
LLM for Drug Editing, ICLR 2024
DrugEx
De Novo Drug Design with RNNs and Transformers
DeepAffinity
Protein-compound affinity prediction through unified RNN-CNN
transformerCPI
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
bidd-molmap
MolMapNet: An Efficient ConvNet with Knowledge-based Molecular Represenations for Molecular Deep Learning
awesome-deep-learning-4-life-sciences
A collection of resources for Deep Learning in Python for Life Sciences (with focus on biotech and pharma).
pandora
PANDORA :computer:
DrugAssist
[Briefings In Bioinformatics] DrugAssist: A Large Language Model for Molecule Optimization
summit
Optimising chemical reactions using machine learning
Tangelo
A python package for exploring end-to-end chemistry workflows on quantum computers and simulators.
Awesome-SBDD
Papers about Structure-based Drug Design (SBDD)
chemprop
Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.
chemCPA
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
biosimspace
An interoperable Python framework for biomolecular simulation.
DD_protocol
Official repository for the Deep Docking protocol
dyMEAN
This repo contains the codes for our paper "End-to-End Full-Atom Antibody Design"
druggpt
DrugGPT: A GPT-based Strategy for Designing Potential Ligands Targeting Specific Proteins
MolCRAFT
Official repository for MolCRAFT series
CIGA
[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
py4chemoinformatics
Python for chemoinformatics
DEEPScreen
DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images
ChemGAN-challenge
Code for the paper: ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.
PyTrial
PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development
PLAPT
Codebase and CLI for PLAPT: A state-of-the-art protein-ligand binding affinity model for drug discovery
DrugHIVE
DrugHIVE: Structure-based drug design with a deep hierarchical generative model