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
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Open-Source Quantum Chemistry – an electronic structure package in C++ driven by Python
WebGL accelerated JavaScript molecular graphics library
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
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
Parsers and algorithms for computational chemistry logfiles
Descriptor computation(chemistry) and (optional) storage for machine learning
Open Parser for Systematic IUPAC Nomenclature. Chemical name to structure conversion
LLM for Drug Editing, ICLR 2024
Auto-QChem is an automated workflow for the generation and storage of DFT calculations for organic molecules.
The Massively Parallel Quantum Chemistry program, MPQC, computes properties of atoms and molecules from first principles using the time independent Schrödinger equation.
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.
UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.
Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).
Simple webapp for generating small ligand conformers