• DocumentCode
    2459905
  • Title

    Keynote I

  • Author

    Skolnick, Jeffrey

  • Author_Institution
    Center for the Study of Syst. Biol., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2010
  • fDate
    17-19 May 2010
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    This paper discusses about new approaches for protein function identification and ligand screening. To find a robust computational method it develops a ligand homology modeling approach and show that remotely related proteins identified by threading often share a common binding site occupied by chemically similar ligands. Itapply FINDSITELHM to the human kinome and construct structure models that are subsequently subjected to virtual screening against a library of more than 2 million compounds ranked by a hierarchical approach that combines ligand- and structure-based filters.
  • Keywords
    functional analysis; inhibitors; molecular biophysics; proteins; proteomics; FINDSITELHM; anchor-binding mode; homology modeling; human kinome; kinase inhibitors; ligand screening; ligand-based filters; low-resolution predicted models; molecular interactions; protein functional inference; proteome scale application; rapid ligand docking; receptor crystal structure; structure-based filters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Principles of Advanced and Distributed Simulation (PADS), 2010 IEEE Workshop on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1087-4097
  • Print_ISBN
    978-1-4244-7292-5
  • Type

    conf

  • DOI
    10.1109/PADS.2010.5471647
  • Filename
    5471647