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
The official sources for the RDKit library
Message Passing Neural Networks for Molecule Property Prediction
Graphormer is a general-purpose deep learning backbone for molecular modeling.
Open-source foundation of the user-sponsored PyMOL molecular visualization system.
Python package for compiling and analyzing quantum algorithms to simulate electronic structures.
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
A powerful and flexible machine learning platform for drug discovery
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)
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
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
A Euclidean diffusion model for structure-based drug design.
GraphDTA: Predicting drug-target binding affinity with graph neural networks
Source code for "DeepDTA: deep drug-target binding affinity prediction"
ChEMBL database structure pipelines
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.
A script to run structural alerts using the RDKit and ChEMBL
LLM for Drug Editing, ICLR 2024
Chemical 2D structure editor application/applet based on the Chemistry Development Kit