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
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
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
The Chemistry Development Kit
The repository host gives no description.
Universal cheminformatics toolkit, utilities and database search tools
GraphDTA: Predicting drug-target binding affinity with graph neural networks
Source code for "DeepDTA: deep drug-target binding affinity prediction"
UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.
Simple webapp for generating small ligand conformers
Accelerated similarity searching of small molecules (bioconductor package)