Literature DB >> 21696235

BetaDock: shape-priority docking method based on beta-complex.

Deok-Soo Kim1, Chong-Min Kim, Chung-In Won, Jae-Kwan Kim, Joonghyun Ryu, Youngsong Cho, Changhee Lee, Jong Bhak.   

Abstract

This paper presents an approach and a software, BetaDock, to the docking problem by putting the priority on shape complementarity between a receptor and a ligand. The approach is based on the theory of the β-complex. Given the Voronoi diagram of the receptor whose topology is stored in the quasi-triangulation, the β-complex corresponding to water molecule is computed. Then, the boundary of the β-complex defines the β-shape which has the complete proximity information among all atoms on the receptor boundary. From the β-shape, we first compute pockets where the ligand may bind. Then, we quickly place the ligand within each pocket by solving the singular value decomposition problem and the assignment problem. Using the conformations of the ligands within the pockets as the initial solutions, we run the genetic algorithm to find the optimal solution for the docking problem. The performance of the proposed algorithm was verified through a benchmark test and showed that BetaDock is superior to a popular docking software AutoDock 4.

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Year:  2011        PMID: 21696235     DOI: 10.1080/07391102.2011.10507384

Source DB:  PubMed          Journal:  J Biomol Struct Dyn        ISSN: 0739-1102


  4 in total

1.  Optimal ligand descriptor for pocket recognition based on the Beta-shape.

Authors:  Jae-Kwan Kim; Chung-In Won; Jehyun Cha; Kichun Lee; Deok-Soo Kim
Journal:  PLoS One       Date:  2015-04-02       Impact factor: 3.240

Review 2.  Three-dimensional compound comparison methods and their application in drug discovery.

Authors:  Woong-Hee Shin; Xiaolei Zhu; Mark Gregory Bures; Daisuke Kihara
Journal:  Molecules       Date:  2015-07-16       Impact factor: 4.411

Review 3.  Building a virtual ligand screening pipeline using free software: a survey.

Authors:  Enrico Glaab
Journal:  Brief Bioinform       Date:  2015-06-20       Impact factor: 11.622

4.  Sequential ligand- and structure-based virtual screening approach for the identification of potential G protein-coupled estrogen receptor-1 (GPER-1) modulators.

Authors:  Shafi Ullah Khan; Nafees Ahemad; Lay-Hong Chuah; Rakesh Naidu; Thet Thet Htar
Journal:  RSC Adv       Date:  2019-01-21       Impact factor: 4.036

  4 in total

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