High-throughput molecular docking and virtual screening software
AutoDock Vina is one of the most widely cited open-source docking engines in structural biology, offering fast conformational search algorithms and empirical binding affinity scoring.
High-speed multi-threaded molecular docking of flexible small-molecule ligandsSupport for flexible receptor side chains and macrocyclic ligandsPython bindings (AutoDock-Vina Python package) for automated screening pipelinesExtensively integrated with open-source computational chemistry workflows
AutoDock Vina is one of the most widely cited open-source docking engines in structural biology, offering fast conformational search algorithms and empirical binding affinity scoring.
Information checked against an official source; not a hands-on test. Source · Last reviewed: 20/09/2026, 11:09:40
Key Features
High-speed multi-threaded molecular docking of flexible small-molecule ligands
Support for flexible receptor side chains and macrocyclic ligands
Python bindings (AutoDock-Vina Python package) for automated screening pipelines
Extensively integrated with open-source computational chemistry workflows
Interactive 3D Structure
AutoDock Vina Predicted Complex
Streams real 3D atomic coordinates from RCSB Protein Data Bank
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pLDDT / B-Factor:
>90 Very high 70-90 Confident 50-70 Low <50 Very low
Academic Context & Research Evidence
Biological & Workflow Fit
Biological Application
Virtual screening of compound libraries and binding mode prediction
Research Workflow
Input receptor PDBQT and ligand PDBQT -> output binding poses and energy scores
Compute & Hardware
Multi-core CPU (GPU-accelerated version available via QuickVina/Vina-GPU)
Use this citation format when referencing AutoDock Vina in scientific publications and benchmark papers.
@software{autodock_vina_2026,
title = {{AutoDock Vina}},
author = {{Scripps Research Institute}},
year = {2026},
url = {https://vina.scripps.edu},
note = {Indexed on aibioatlas - AI for Biology and Drug Discovery}
}
Peer-Reviewed Literature & Preprints
Live scientific citations streamed from Europe PMC and PubMed for AutoDock Vina.
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Technical / Product Information
Missing values mean the catalog has no recorded information. They do not mean a feature is absent.
Entry typeOpen Source Software
Access modeOpen Source
AI roleEmpirical & Algorithmic Docking
Input dataNot recorded
Output dataNot recorded
Licence conditionsApache 2.0
Commercial eligibilityPermissive open source release
Compute requirementsMulti-core CPU (GPU-accelerated version available via QuickVina/Vina-GPU)
ValidationNot recorded
TypeMolecular docking software
Intended useNot recorded
CompatibilityNot recorded
ManufacturerThe Scripps Research Institute
Biological applicationVirtual screening of compound libraries and binding mode prediction
Research workflowInput receptor PDBQT and ligand PDBQT -> output binding poses and energy scores
Evidence levelPeer-reviewed research with >25,000 scientific citations
Integration evidencehttps://vina.scripps.edu
Laboratory handoffIdentified hits ordered from commercial vendors (Enamine, ChemBridge) for in vitro validation
AvailabilityAvailable on GitHub and Scripps website