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inria-00539939, version 1

Comparing Protein 3D Structures Using A_purva

Noël Malod-Dognin (Auteur à contacter de préférence) 1, Nicola Yanev () 2, Rumen Andonov () a3

N° RR-7464 (2010)

Résumé : Structural similarity between proteins provides significant insights about their functions. Maximum Contact Map Overlap maximization (CMO) received sustained attention during the past decade and can be considered today as a credible protein structure measure. We present here A_purva, an exact CMO solver that is both efficient (notably faster than the previous exact algorithms), and reliable (providing accurate upper and lower bounds of the solution). These properties make it applicable for large-scale protein comparison and classification. Availability: http://apurva.genouest.org Contact: support@genouest.org Supplementary information: A_purva's user manual, as well as many examples of protein contact maps can be found on A_purva's web-page.

  • a –  Université de Rennes I
  • 1 :  ABS (INRIA Sophia Antipolis)
  • INRIA
  • 2 :  University of Sofia
  • Bulgarian Academy of Sciences
  • 3 :  SYMBIOSE (INRIA - IRISA)
  • CNRS : UMR6074 – INRIA – Institut National des Sciences Appliquées (INSA) - Rennes – Université de Rennes 1
  • Domaine : Informatique/Bio-informatique
    Sciences du Vivant/Bio-Informatique, Biologie Systémique
  • Mots-clés : Protein structure comparison – maximum contact map overlap – software – combinatorial optimization – integer programming
  • Référence interne : RR-7464
 
  • inria-00539939, version 1
  • oai:hal.inria.fr:inria-00539939
  • Contributeur : 
  • Soumis le : Jeudi 25 Novembre 2010, 15:45:08
  • Dernière modification le : Jeudi 2 Décembre 2010, 10:31:05