Official repository for the Boltz biomolecular interaction models
- binding-prediction
- drug-discovery
- protein-structure
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Official repository for the Boltz biomolecular interaction models
Public development project of the LAMMPS MD software package
Message Passing Neural Networks for Molecule Property Prediction
Graphormer is a general-purpose deep learning backbone for molecular modeling.
OpenMM is a toolkit for molecular simulation using high performance GPU code.
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)
Official Repository for the Uni-Mol Series Methods
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.
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
Molecular Processing Made Easy.
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.
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)
Open Parser for Systematic IUPAC Nomenclature. Chemical name to structure conversion
Associated Repository for "Translation between Molecules and Natural Language"
A Python package for molecular docking with an extensive, highly-curated dataset and a set of realistic benchmark tasks for drug discovery.