Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
- drug-discovery
- quantum-chemistry
- deep-learning
- biology
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Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
The official sources for the RDKit library
Public development project of the LAMMPS MD software package
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Open Babel is a chemical toolbox designed to speak the many languages of chemical data.
Open-Source Quantum Chemistry – an electronic structure package in C++ driven by Python
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
WebGL accelerated JavaScript molecular graphics library
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
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
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
⚗ A package useful for chemistry written in Python
The Chemistry Development Kit
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
Molecular Processing Made Easy.
Benchmarks for generative chemistry
A Euclidean diffusion model for structure-based drug design.
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
a molecular descriptor calculator
Parsers and algorithms for computational chemistry logfiles
Universal cheminformatics toolkit, utilities and database search tools
Deep Reinforcement Learning for de-novo Drug Design
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)