• DocumentCode
    3450660
  • Title

    Algorithmic aspects of protein structure similarity

  • Author

    Goldman, Deborah ; Istrail, S. ; Papadimitriou, Christos H.

  • Author_Institution
    Dept. of Math., California Univ., Berkeley, CA, USA
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    512
  • Lastpage
    521
  • Abstract
    We show that calculating contact map overlap (a measure of similarity of protein structures) is NP-hard, but can be solved in polynomial time for several interesting and relevant special cases. We identify an important special case of this problem corresponding to self-avoiding walks, and prove a decomposition theorem and a corollary approximation result for this special case. These are the first approximation algorithms with guaranteed error bounds, and NP-completeness results in the literature in the area of protein structure alignment/fold recognition for measures of structure similarity of practical interest
  • Keywords
    biology computing; computational complexity; graph theory; molecular configurations; optimisation; proteins; scientific information systems; theorem proving; NP-completeness results; NP-hard; algorithmic aspects; approximation algorithms; contact map overlap; corollary approximation result; decomposition theorem; guaranteed error bounds; polynomial time; protein structure alignment; protein structure similarity; self-avoiding walks; Area measurement; Databases; Laboratories; Mathematics; Microwave integrated circuits; Polynomials; Prediction methods; Proteins; Time measurement; US Department of Energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science, 1999. 40th Annual Symposium on
  • Conference_Location
    New York City, NY
  • ISSN
    0272-5428
  • Print_ISBN
    0-7695-0409-4
  • Type

    conf

  • DOI
    10.1109/SFFCS.1999.814624
  • Filename
    814624