Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
- drug-discovery
- quantum-chemistry
- deep-learning
- biology
Repository Index
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Official repository for the Boltz biomolecular interaction models
- binding-prediction
- drug-discovery
- protein-structure
The official sources for the RDKit library
- cheminformatics
- c-plus-plus
- python
- rdkit
Message Passing Neural Networks for Molecule Property Prediction
- machine-learning
- chemistry
- neural-networks
- drug-discovery
Graphormer is a general-purpose deep learning backbone for molecular modeling.
- graph
- transformer
- deep-learning
- ai4science
FAIR Chemistry's library of machine learning methods for chemistry
A deep learning package for many-body potential energy representation and molecular dynamics
- deep-learning
- molecular-dynamics
- deepmd
- lammps
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
- diffusion-models
- docking
- binding
- computational-biology
Open-Source Quantum Chemistry – an electronic structure package in C++ driven by Python
- quantum-chemistry
- c-plus-plus
- python
- computational-chemistry
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
WebGL accelerated JavaScript molecular graphics library
- molecular-graphics
- molecular-modeling
- computational-biology
- computational-chemistry
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
- machine-learning
- generative-models
- drug-discovery
- benchmark
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
An open library for the analysis of molecular dynamics trajectories
- molecular-dynamics
- python
- mdtraj
- rmsd
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
⚗ A package useful for chemistry written in Python
- chemistry
- physical-chemistry
- chemical-kinetics
- chemical-formulas
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
Molecular Processing Made Easy.
- python
- molecule
- rdkit
- drug-discovery
A Euclidean diffusion model for structure-based drug design.
- ddpm
- drug-design
- equivariance
- generative-model
Benchmarks for generative chemistry
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