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      Covalent docking using autodock: Two‐point attractor and flexible side chain methods

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          Abstract

          We describe two methods of automated covalent docking using Autodock4: the two‐point attractor method and the flexible side chain method. Both methods were applied to a training set of 20 diverse protein–ligand covalent complexes, evaluating their reliability in predicting the crystallographic pose of the ligands. The flexible side chain method performed best, recovering the pose in 75% of cases, with failures for the largest inhibitors tested. Both methods are freely available at the AutoDock website ( http://autodock.scripps.edu).

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          Author and article information

          Journal
          Protein Sci
          Protein Sci
          10.1002/(ISSN)1469-896X
          PRO
          Protein Science : A Publication of the Protein Society
          John Wiley and Sons Inc. (Hoboken )
          0961-8368
          1469-896X
          07 July 2015
          January 2016
          : 25
          : 1 , Special issue in Honor of Ron Levy ( doiID: 10.1002/pro.v25.1 )
          : 295-301
          Affiliations
          [ 1 ] Department of Life and Environmental Sciences Drug Sciences Section, University of Cagliari via Ospedale 72 Cagliari 09124 Italy
          [ 2 ] Molecular Graphics Lab Department of Integrative Structural and Computational Biology, MB‐112, the Scripps Research Institute 10550 North Torrey Pines Road La Jolla California 92037‐1000
          Author notes
          [*] [* ]Correspondence to: A. J. Olson; Department of Integrative Structural and Computational Biology, MB‐112, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037‐1000. E‐mail: olson@ 123456scripps.edu
          Article
          PMC4815316 PMC4815316 4815316 PRO2733
          10.1002/pro.2733
          4815316
          26103917
          58040b12-7ffd-4da3-a49f-a0aefe3c5632
          © 2015 The Protein Society
          History
          : 31 March 2015
          : 28 May 2015
          : 01 June 2015
          Page count
          Pages: 7
          Funding
          Funded by: National Institutes of Health
          Award ID: R01 GM069832
          Categories
          Methods and Applications
          Methods and Applications
          Custom metadata
          2.0
          pro2733
          January 2016
          Converter:WILEY_ML3GV2_TO_NLMPMC version:4.7.2 mode:remove_FC converted:06.01.2016

          computational docking,computer‐aided drug design,covalent inhibitors,ligand–protein interactions

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