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
Official repository for the Boltz biomolecular interaction models
Message Passing Neural Networks for Molecule Property Prediction
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
WebGL accelerated JavaScript molecular graphics library
Python package for graph neural networks in chemistry and biology
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
⚗ A package useful for chemistry written in Python
The Chemistry Development Kit
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.
Parsers and algorithms for computational chemistry logfiles
Universal cheminformatics toolkit, utilities and database search tools
Descriptor computation(chemistry) and (optional) storage for machine learning
ChEMBL database structure pipelines
Open Parser for Systematic IUPAC Nomenclature. Chemical name to structure conversion
Graph-based molecule modeling toolkit for cheminformatics
a unified framework for modeling chemically reactive systems