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.
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.
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Official Repository for the Uni-Mol Series Methods
WebGL accelerated JavaScript molecular graphics library
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
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.
Python package for graph neural networks in chemistry and biology
An open library for the analysis of molecular dynamics trajectories
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
Molecular Processing Made Easy.
a molecular descriptor calculator
The repository host gives no description.
Universal cheminformatics toolkit, utilities and database search tools
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)
Graph-based molecule modeling toolkit for cheminformatics
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.