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
Public development project of the LAMMPS MD software package
Graphormer is a general-purpose deep learning backbone for molecular modeling.
A deep learning package for many-body potential energy representation and molecular dynamics
OpenMM is a toolkit for molecular simulation using high performance GPU code.
Open-source foundation of the user-sponsored PyMOL molecular visualization system.
Python package for compiling and analyzing quantum algorithms to simulate electronic structures.
MDAnalysis is a Python library to analyze molecular dynamics simulations.
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)
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
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
⚗ A package useful for chemistry written in Python
The Chemistry Development Kit
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
A Euclidean diffusion model for structure-based drug design.
Benchmarks for generative chemistry
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)