• DocumentCode
    3177702
  • Title

    Knowledge-Guided Docking of Flexible Ligands to SH2 Domain Proteins

  • Author

    Lu, Haiyun ; Rashid, Shamima Banu Bte Sm ; Li, Hao ; Leow, Wee Kheng ; Liou, Yih-Cherng

  • Author_Institution
    Dept. of Comput. Sci., Nat. Univ. of Singapore, Singapore, Singapore
  • fYear
    2010
  • fDate
    May 31 2010-June 3 2010
  • Firstpage
    185
  • Lastpage
    190
  • Abstract
    Studies of interactions between protein domains and ligands are important in many aspects such as cellular signaling and regulation. In this work, we applied a three-stage knowledge-guided approach of docking flexible peptide ligands to SH2 domains. The first stage of the approach search for binding pockets of SH2 domain proteins and binding motifs of peptide ligands based on known features. The knowledge of the binding sites are used in the second stage as binding constraints to align ligand´s peptide backbone to the SH2 domain. The backbone-aligned ligands produced serve as good starting points to the third stage which uses a Monte Carlo method to perform the flexible docking. The experimental results show that the backbone alignment method at the second stage produces good backbone conformations which are close to the conformation in complex. The binding site information is well utilized to provide a better starting point to the next docking stage. The subsequent docking is successful or partially successful in 5 of 7 test cases. The performance is better than that of general docking methods. The presented approach can also be applied to other well characterized protein domains which bind ligands in two or more binding grooves.
  • Keywords
    Monte Carlo methods; bioinformatics; cellular biophysics; molecular biophysics; molecular configurations; proteins; Monte Carlo method; SH2 domain proteins; backbone conformations; backbone-aligned ligands; binding constraints; binding pockets; binding sites; cellular regulation; cellular signaling; flexible peptide ligands; knowledge-guided docking; three-stage knowledge-guided approach; Biochemistry; Biological processes; Biological system modeling; Biomedical engineering; Circadian rhythm; Mathematical model; Power system modeling; Proteins; Systems biology; USA Councils; Flexible Docking; SH2 Domain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    BioInformatics and BioEngineering (BIBE), 2010 IEEE International Conference on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    978-1-4244-7494-3
  • Type

    conf

  • DOI
    10.1109/BIBE.2010.37
  • Filename
    5521691