• DocumentCode
    2711737
  • Title

    Bimal: Bipartite matching alignment for the contact map overlap problem

  • Author

    Jain, Brijnesh J. ; Obermayer, Klaus

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Berlin Univ. of Technol., Berlin, Germany
  • fYear
    2009
  • fDate
    14-19 June 2009
  • Firstpage
    1394
  • Lastpage
    1400
  • Abstract
    Bimal, a fast method for approximately solving the maximum contact map overlap (maxCMO) problem is introduced. The method is based on an approximate model of the maxCMO-problem using the generic bipartite graph matching framework, which is then optimally solved by double dynamic programming. The performance of Bimal has been evaluated in an empirical comparative study including clustering of protein structures according to the SCOP fold´s level. Solving about 800 pairwise alignments of medium-sized proteins takes less than 1 min on a 1.7 GHz machine and yields good results for similar protein structures. Bimal accurately classified proteins in agreement with the SCOP classification. In particular, for similar proteins, Bimal provides a good tradeoff between computation speed and solution quality and is because of its high speed useful for solving large-scaled maxCMO applications.
  • Keywords
    biology; dynamic programming; graph theory; proteins; Bimal; double dynamic programming; generic bipartite graph matching alignment; maximum contact map overlap problem; molecular biology; protein structures clustering; Atomic measurements; Biological system modeling; Biology computing; Bipartite graph; Dynamic programming; Large-scale systems; Mathematical model; Neural networks; Proteins; Sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2009. IJCNN 2009. International Joint Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-3548-7
  • Electronic_ISBN
    1098-7576
  • Type

    conf

  • DOI
    10.1109/IJCNN.2009.5178901
  • Filename
    5178901