Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
- drug-discovery
- quantum-chemistry
- deep-learning
- biology
Repository Index
47,133 repositories indexed
1–21 of 21 · Most stars
Official repository for the Boltz biomolecular interaction models
- binding-prediction
- drug-discovery
- protein-structure
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
- diffusion-models
- docking
- binding
- computational-biology
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
- drug-repurposing
- deep-learning
- drug-target-interactions
- toolkit
Official Repository for the Uni-Mol Series Methods
- molecular-modeling
- pre-trained-model
- pretraining
- deep-learning
Public/backup repository of the GROMACS molecular simulation toolkit. Please do not mine the metadata blindly; we use https://gitlab.com/gromacs/gromacs for code review and issue tracking.
Python package for graph neural networks in chemistry and biology
- deep-learning
- graph-neural-networks
- dgl
- cheminformatics
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
- deep-learning
- pytorch
- deep-chemistry
- graph-neural-network
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
- huggingface
- bert
- chemical-modelling
- chemical-smiles-data
Universal cheminformatics toolkit, utilities and database search tools
- indigo
- bingo
- cheminformatics
- chemistry
Deep Reinforcement Learning for de-novo Drug Design
- deeplearning
- reinforcement-learning
- cheminformatics
- molecular-modeling
Source code for "DeepDTA: deep drug-target binding affinity prediction"
- protein-ligand-interactions
- convolutional-neural-networks
Associated Repository for "Translation between Molecules and Natural Language"
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
- quantum-mechanics
- materials-informatics
- data-science
- machine-learning
LLM for Drug Editing, ICLR 2024
- chatgpt
- conversation
- drug
- drug-discovery
The Massively Parallel Quantum Chemistry program, MPQC, computes properties of atoms and molecules from first principles using the time independent Schrödinger equation.
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.
- alphafold3
- docking
- drug-design
- drug-discovery
UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.
- benchmark
- bioinformatics
- cheminformatics
- computational-chemistry
Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).
- deep-reinforcement-learning
- generative-model
- vae
- molecule-generation