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
The official sources for the RDKit library
Message Passing Neural Networks for Molecule Property Prediction
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
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)
Official Repository for the Uni-Mol Series Methods
WebGL accelerated JavaScript molecular graphics library
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
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
An open library for the analysis of molecular dynamics trajectories
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
⚗ A package useful for chemistry written in Python
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
Molecular Processing Made Easy.
A Euclidean diffusion model for structure-based drug design.
Benchmarks for generative chemistry
The repository host gives no description.
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