AutoDock Vina 1.2.0: New Docking Methods, Expanded Force Field, and Python Bindings

AutoDock Vina 1.2.0: новые методы докинга, расширенное силовое поле и привязки Python
Jérôme Eberhardt, Diogo Santos‐Martins, Andreas F. Tillack, Stefano Forli
2021-07-19

AutoDock Vina 1.2.0AutoDock4.2 scoring functionPython bindingsexplicit water moleculesmacrocycle modeling
AutoDock Vina is arguably one of the fastest and most widely used open-source programs for molecular docking. However, compared to other programs in the AutoDock Suite, it lacks support for modeling specific features such as macrocycles or explicit water molecules. Here, we describe the implementation of this functionality in AutoDock Vina 1.2.0. Additionally, AutoDock Vina 1.2.0 supports the AutoDock4.2 scoring function, simultaneous docking of multiple ligands, and a batch mode for docking a large number of ligands. Furthermore, we implemented Python bindings to facilitate scripting and the development of docking workflows. This work is an effort toward the unification of the features of the AutoDock4 and AutoDock Vina programs. The source code is available at https://github.com/ccsb-scripps/AutoDock-Vina.
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A batch mode for docking large numbers of ligands was introduced in AutoDock Vina 1.2.0.
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AutoDock Vina 1.2.0 adds support for modeling macrocycles and explicit water molecules previously missing from Vina.
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AutoDock Vina 1.2.0 enables simultaneous docking of multiple ligands.
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Python bindings were implemented to facilitate scripting and development of docking workflows.
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This release moves toward unifying features of AutoDock4 and AutoDock Vina, with source code available on GitHub.
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Version 1.2.0 implements the AutoDock4.2 scoring function within AutoDock Vina.

AutoDock Vina 1.2.0 molecular docking software

Implemented new docking methods and features (macrocycle modeling, explicit water handling), expanded force field support (AutoDock4.2 scoring), simultaneous/batch multi-ligand docking, and Python bindings to enable scripting and workflow development

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2021-07-19
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Authors
Jérôme Eberhardt
Diogo Santos‐Martins
Andreas F. Tillack
Stefano Forli
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