Comparative evaluation of shape retrieval methods on macromolecular surfaces: an application of computer vision methods in structural bioinformatics.

Journal: Bioinformatics (Oxford, England)
Published Date:

Abstract

MOTIVATION: The investigation of the structure of biological systems at the molecular level gives insights about their functions and dynamics. Shape and surface of biomolecules are fundamental to molecular recognition events. Characterizing their geometry can lead to more adequate predictions of their interactions. In the present work, we assess the performance of reference shape retrieval methods from the computer vision community on protein shapes.

Authors

  • Mohamed Machat
    Laboratoire GBCM, EA 7528, Conservatoire National des Arts et Métiers, Hesam Université, Paris 75003, France.
  • Florent Langenfeld
    Laboratoire GBCM, EA 7528, Conservatoire National des Arts et Métiers, Hesam Université, Paris 75003, France.
  • Daniela Craciun
    Laboratoire GBCM, EA 7528, Conservatoire National des Arts et Métiers, Hesam Université, Paris 75003, France.
  • Léa Sirugue
    Laboratoire GBCM, EA 7528, Conservatoire National des Arts et Métiers, Hesam Université, Paris 75003, France.
  • Taoufik Labib
    Laboratoire GBCM, EA 7528, Conservatoire National des Arts et Métiers, Hesam Université, Paris 75003, France.
  • Nathalie Lagarde
    Laboratoire GBCM, EA 7528, Conservatoire National des Arts et Métiers, Hesam Université, Paris 75003, France.
  • Maxime Maria
    Laboratoire GBCM, EA 7528, Conservatoire National des Arts et Métiers, Hesam Université, Paris 75003, France.
  • Matthieu Montes
    Laboratoire GBCM, EA 7528, Conservatoire National des Arts et Métiers, Hesam Université, Paris 75003, France.