Educational materials for, and related to, UC Irvine's Drug Discovery Computing Techniques course (PharmSci 175/275), currently taught by David Mobley.
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]
screenlamp is a Python toolkit for hypothesis-driven virtual screening
Flexible Artificial Intelligence Docking
🔷 MX pipeline. Refinement and ligand screening.
Your one-stop solution for protein-ligand docking. This pipeline simplifies molecular docking, helping researchers study protein-ligand interactions efficiently. It offers clear instructions and customizable options for easy virtual screening. Simplify drug discovery, explore confidently!
Code for an artificial neural net classifier of small molecule GPCR activity
This pipeline facilitates setting up ligand docking against a protein using AutoDock-GPU. It streamlines the process of docking a ligand library onto a protein structure, leveraging the enhanced performance of AutoDock-GPU for faster results.
This repository provides an automated docking solution for ligands and receptor proteins using AutoDock Vina and P2Rank, enhanced with a Streamlit-based web interface for simple and intuitive browser-based operation. It supports high-throughput workflows and includes SLURM integration for advanced task management while remaining easy to use locally
Computational Drug Screening Platform
To identify the lowest (relatively) energy docking sites for a particular ligand using one-dimensional search.
Developed as part of the Lawrence Livermore National Laboratory Data Science Summer Institute 2022 Challenge Problem. Screening molecular inhibitors for SARS-CoV-2 protein targets with Deep Learning Models.
Flexible Artificial Intelligence Docking
A quick and dirty virtual screening task for potential ligands of Flavobacterium johnsoniae Tyrosine Ammonia Lyase (FjTAL)
GPR119 ligand screening using computational techniques. (Jan - Dec 2023)
Project in the Durrant Lab at UPitt that wanted to re-use code from a previous neural network ligand-protein interaction software to extract features for ML
Web service for scoring protein-ligand complexes
This automation script facilitates the conversion of chemical compounds from one file format to another using Open Babel.
Python program to run several PELE simulations in a very authomaticall way
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