A deep learning framework for molecular docking

RxDock is a fork of rDock. Note: the latest code is under development. Please do git checkout patched-rdock after clone if you want patched rDock. [IMPORTANT NOTE: pull requests should be posted on GitLab, this is a read-only source code mirror]

rDock is a fast and versatile Open Source docking program that can be used to dock small molecules against proteins and nucleic acids. It is designed for High Throughput Virtual Screening (HTVS) campaigns and Binding Mode prediction studies.

Cardiac Action Potential Prediction (ApPredict) under drug-induced block of ion channels. This is a Chaste extension/bolt-on project.

rDock is a fast and versatile Open Source docking program that can be used to dock small molecules against proteins and nucleic acids. This fork adds changes to rDock that allow it to be a part of DockingFactory.

A python wrapper for Imago OCR

Finding redundancies and similarities in SMILES datasets

An artificial intelligence knowledge mining platform. #CareAlwaysInAllways

Smina is fork of AutoDock Vina that is customized to better support scoring function development and high-performance energy minimization. smina is maintained by David Koes at the University of Pittsburgh and is not directly affiliated with the AutoDock project. This fork of Smina adds changes that allow it to run as a part of DockingFactory.

Implementation of Lilly Medchem Rules - J. Med. Chem. 2012, 55, 9763-9772

Quick Vina 2 is a fast and accurate molecular docking tool, attained at accurately accelerating AutoDock Vina. This fork of QVina 2 adds changes that allow it to run as part of DockingFactory.

AutoDock Vina is one of the fastest and most widely used open-source docking engines. It is based on a simple scoring function and rapid gradient-optimization conformational search. It was originally designed and implemented by Dr. Oleg Trott in the Molecular Graphics Lab. This fork of Vina adds changes that allow it to be a part of DockingFactory.