There are 14 repositories under drug-design topic.
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
List of molecular design using Generative AI and Deep Learning
Molecular Processing Made Easy.
Interaction Fingerprints for protein-ligand complexes and more
A Euclidean diffusion model for structure-based drug design.
DiffLinker: Equivariant 3D-Conditional Diffusion Model for Molecular Linker Design
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting file formats and analyzing the results.
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
Official code repository of CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph
Python for chemoinformatics
A python package for exploring end-to-end chemistry workflows on quantum computers and simulators.
benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, published in Cell Patterns 2022.
DrugGPT: A GPT-based Strategy for Designing Potential Ligands Targeting Specific Proteins
We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.
Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
Awesome De novo drugs design papers
The Biochemical Algorithms Library
Structure-based Drug Design; Reinforcement Learning and Genetic Algorithm
TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design
Code and data for "NeVAE: A Deep Generative Model for Molecular Graphs", AAAI 2019
Lo-Hi Splitter for Modern Splits of Molecular Datasets
implicit or explicit water model based docking with Autodock vina engine. supporting pharmacophore /position constrained docking
Implementation of Nvidia's NeuralPlexer, for end-to-end differentiable design of functional small-molecules and ligand-binding proteins, in Pytorch
Protwis is the backbone of the GPCRdb. The GPCRdb contains reference data, interactive visualisation and experiment design tools for G protein-coupled receptors (GPCRs).
Computational Analysis of Novel Drug Opportunities
Awesome list of the data and AI/ML related projects with direct Life Science Companies participation
This pipeline is executing a RE-EDS run for relative free energy calculations. It can be used for example for calculation of hydration free energies or ligand binding free energies.
This repository is the collection point of reference data for the GPCRdb. The GPCRdb contains reference data, interactive visualisation and experiment design tools for G protein-coupled receptors (GPCRs).
(differentiable) gradient-based optimization on a chemical graph for de novo molecule design/optimization (ICLR 2022)
rdKit basics (provided jupyter notebooks are custom curated and will help the users to start working on rdKit)