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 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
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
Universal cheminformatics toolkit, utilities and database search tools
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
Graph-based molecule modeling toolkit for cheminformatics
a unified framework for modeling chemically reactive systems
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
LLM for Drug Editing, ICLR 2024
The Massively Parallel Quantum Chemistry program, MPQC, computes properties of atoms and molecules from first principles using the time independent Schrödinger equation.
The d-SEAMS C++ core engine
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.
WebGL molecule viewer made with Babylon.js