The AutoDock suite at 30. (12th September 2020)

• Record Type: Journal Article
• Authors: Goodsell, David S.; Sanner, Michel F.; Olson, Arthur J.; Forli, Stefano
• Is Part Of: Protein science. Volume 30:Number 1(2021)
• Page Start: 31
• Page End: 43
• Publication Date: 2020-09-12
• Subjects: active site prediction -- AutoDock -- computational docking -- computer‐aided drug design -- force field -- peptide‐docking; Proteins -- Periodicals; 572.6
• DOI: 10.1002/pro.3934
• Languages: English
• ISSNs: 0961-8368

Abstract

Abstract: The AutoDock suite provides a comprehensive toolset for computational ligand docking and drug design and development. The suite builds on 30 years of methods development, including empirical free energy force fields, docking engines, methods for site prediction, and interactive tools for visualization and analysis. Specialized tools are available for challenging systems, including covalent inhibitors, peptides, compounds with macrocycles, systems where ordered hydration plays a key role, and systems with substantial receptor flexibility. All methods in the AutoDock suite are freely available for use and reuse, which has engendered the continued growth of a diverse community of primary users and third‐party developers.