There are 2 repositories under autodock-vina topic.
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.
implicit or explicit water model based docking with Autodock vina engine. supporting pharmacophore /position constrained docking
VRmol: an Integrative Web-Based Virtual Reality System to Explore Macromolecular Structure
HIPPOS Is PyPLIF On Steroids. A Molecular Interaction Fingerprinting Tool for Docking Results of Autodock Vina and PLANTS
Package AutoDock Vina, ADFR suite, Meeko, MGLTools into Docker Image.
Tactic MMIC for molecular docking using AutoDock Vina
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
A Colab notebook explaining the pipeline for smile format, openbabel, autodock vina, pymol and more
Simple pipeline to execute molecular docking experiments
Analysis on the number of non-hydrogen atomic contacts between a ligand and each of specified residues on the protein following molecular docking of multiple ligands to a protein structure.
A script to run docking experiments in AutoDock Vina for several ligands at once with technical replicates.
A simple batch submission script to submit jobs to AutoDock Vina on Linux and MacOS developed by Bhavesh Ashok.
A collection of scripts written for use with different computational biology/chemistry packages throughout my PhD.
Bachelor thesis
mirror of vina.scripps.edu/download v1.1.2
Computational Drug Screening Platform
FireflyVina2LS was developed based on the framework of PSOVina2LS. For more information about Vina, please visit http://vina.scripps.edu.
Open-Sourced. Easy docking in your browser without any login requirement. Post processing and interaction diagram included.
Herein, I introduce some mol2-to-pdbqt converters written in R and Python
A quick and dirty virtual screening task for potential ligands of Flavobacterium johnsoniae Tyrosine Ammonia Lyase (FjTAL)
This repository contains Jonathan et al.'s AoL (Assurance of Learning) Project for SCIE6062001 - Computational Biology Course. This project has been declared to have passed with a high distinction (score: 100, grade: A).
Ranking of all the ligands in molecular docking by their AutoDock Vina scores, an approximation to their free energy of binding to the protein.
This repository provides a demonstration of basic molecular docking using software tools such as AutoDock and ChimeraX. These techniques form part of the curriculum of the Bioinformatics practical course offered by Ahmedabad University, under the course code BIO205.
Research Poster and Report from a breast cancer research study for which I contributed to as part of an internship at BMCC.
Autodock-Vina, NAMD, VMD