• DocumentCode
    185709
  • Title

    A force fields-based multi-scale docking method in drug molecular design

  • Author

    Ling Kang ; Zhengyu Liu ; Quan Guo

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Dalian Neusoft Univ. of Inf., Dalian, China
  • fYear
    2014
  • fDate
    18-19 Oct. 2014
  • Firstpage
    139
  • Lastpage
    142
  • Abstract
    A force fields-based multi-scale docking method is proposed in this paper. Molecular docking problem has been divided into three sub problems: rigid-rigid phase, flexible-flexible phase and flexible-rigid phase. Residue groups of protein have been adopted to describe the conformation of protein. K-mean clustering algorithm and genetic algorithm have been developed to solve the optimization problem. A new docking program, which relies on calculated non-bonded interaction terms between protein and ligand atoms based on standard force fields, has been developed. In comparison with other docking methods, the docking method has significant improvement in docking accuracy.
  • Keywords
    genetic algorithms; molecular biophysics; molecular configurations; pattern clustering; proteins; K-mean clustering algorithm; drug molecular design; flexible-flexible phase; flexible-rigid phase; force field-based multiscale docking method; genetic algorithm; ligand atoms; molecular docking problem; nonbonded interaction; optimization problem; protein conformation; rigid-rigid phase; Accuracy; Clustering algorithms; Decision support systems; Force; Genetic algorithms; Optimization; Proteins; Force field; Genetic Algorithms; K-mean; Multi-scale Docking Method; Residue Groups;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Security, Pattern Analysis, and Cybernetics (SPAC), 2014 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4799-5352-3
  • Type

    conf

  • DOI
    10.1109/SPAC.2014.6982674
  • Filename
    6982674