• DocumentCode
    694802
  • Title

    A Steered Molecular Dynamics Method for Receptor-Ligand Unbinding Based on Genetic Algorithm

  • Author

    Junfeng Gu ; Xicheng Wang ; Yingying Yang

  • Author_Institution
    Dept. of Eng. Mech., Dalian Univ. of Technol., Dalian, China
  • fYear
    2013
  • fDate
    7-8 Dec. 2013
  • Firstpage
    698
  • Lastpage
    703
  • Abstract
    Steered molecular dynamics (SMD) method provides a new tool to investigate the structure-activity relationship, but its application is restricted severely when the real dissociation pathway is crooked. In this paper, a self-adaptive SMD method is designed for protein-ligand and protein-protein unbinding. During the unbinding process, the pulling direction varies automatically with a specified genetic algorithm to find the pathway which can be passed through with minimum force, so the rupture force of the unbinding process can be minimized and a rational dissociation pathway can be found the receptor-ligand complex. To evaluate the efficiency of the proposed method, several representative protein-ligand complexes and protein-protein complexes are simulated to pull the ligands away from the receptors. Compared with the conventional SMD, the new SMD scheme gains different dissociation pathways, and these new pathways generally have smaller rupture force and lower energy barrier.
  • Keywords
    biochemistry; bioinformatics; bonds (chemical); data mining; dissociation; genetic algorithms; minimisation; molecular biophysics; molecular dynamics method; proteins; reaction kinetics theory; self-adjusting systems; SMD application; automatic unbinding pulling direction variation; crooked dissociation pathway; dissociation pathway search; energy barrier; genetic algorithm; minimum force; protein-ligand complex simulation; protein-ligand unbinding; protein-protein complex simulation; protein-protein unbinding; receptor-ligand complex; receptor-ligand unbinding; self-adaptive SMD method; steered molecular dynamics method; structure-activity relationship; unbinding rupture force minimization; Dynamics; Force; Genetic algorithms; Optimization; Proteins; Sociology; Statistics; dissociation pathway; genetic algorithm; optimization; receptor-ligand; steered molecular dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Cloud Computing Companion (ISCC-C), 2013 International Conference on
  • Conference_Location
    Guangzhou
  • Type

    conf

  • DOI
    10.1109/ISCC-C.2013.31
  • Filename
    6973673