• DocumentCode
    599176
  • Title

    An evolutionary-guided iterative refinement approach for protein multimers

  • Author

    Akbal-Delibas, B. ; Haspel, Nurit

  • Author_Institution
    Dept. of Comput. Sci., UMass Boston, Boston, MA, USA
  • fYear
    2012
  • fDate
    4-7 Oct. 2012
  • Firstpage
    941
  • Lastpage
    941
  • Abstract
    Protein complexes play a central role in many cellular processes and the detection of protein complexes and their structures is crucial for understanding the role of protein complexes in the basic biology of organisms. Computational docking methods use structural and geometric search techniques and physico-chemical filters to model complex binding and rank computed structures according to energetic criteria using scoring functions. The results generated by such computational methods are expected to be low-energy structures that are similar to the native complex structures. Unfortunately, computational docking methods are often inaccurate [1] and need to be further refined in order to obtain native-like structures.
  • Keywords
    biochemistry; iterative methods; molecular biophysics; molecular configurations; proteins; cellular processes; complex binding model; computational docking methods; computational methods; computed structures; energetic criteria; evolutionary-guided iterative refinement approach; geometric techniques; low-energy structures; native complex structures; physicochemical filters; protein complex detection; protein complex structures; protein multimers; structural techniques; Bioinformatics; Biological system modeling; Computational modeling; Conferences; Force; Protein engineering; Proteins;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine Workshops (BIBMW), 2012 IEEE International Conference on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    978-1-4673-2746-6
  • Electronic_ISBN
    978-1-4673-2744-2
  • Type

    conf

  • DOI
    10.1109/BIBMW.2012.6470273
  • Filename
    6470273