title: DiMoVo: a Voronoi tessellation-based method for discriminating crystallographic and biological protein-protein interactions.
abstract: BACKGROUND
  Knowledge of the oligomeric state of a protein is often essential for understanding its function and mechanism. Within a protein crystal, each protein monomer is in contact with many others, forming many small interfaces and a few larger ones that are biologically significant if the protein is a homodimer in solution, but not if the protein is monomeric. Telling such 'crystal dimers' from real ones remains a difficult task.
  
  
  RESULTS
  It has already been demonstrated that the interfaces of native and non-native protein-protein complexes can be distinguished using a combination of parameters computed with a method on the Voronoi tessellation. We show in this article that the same parameters highlight significant differences between the interfaces of biological and crystal dimers. Using these parameters as descriptors in machine learning methods leads to accurate classification of specific and non-specific protein-protein interfaces.
  
  
  BACKGROUND
  Software is available at http://fifi.ibbmc.u-psud.fr/DiMoVo.
authors.affiliation: Department of Structural Biology, Fairchild Science Building, Stanford University School of Medicine, Stanford, CA 94305-5126, USA.
authors.forename: Julie
authors.initials: J
authors.lastname: Bernauer
authors.forename: Ranjit Prasad
authors.initials: RP
authors.lastname: Bahadur
authors.forename: Francis
authors.initials: F
authors.lastname: Rodier
authors.forename: Joël
authors.initials: J
authors.lastname: Janin
authors.forename: Anne
authors.initials: A
authors.lastname: Poupon
mesh_terms: D003461:Crystallography; D008962:Models, Theoretical; D011485:Protein Binding; D011506:Proteins / Q000737:chemistry* / Q000378:metabolism; D012372:ROC Curve; D015203:Reproducibility of Results
chemical_list: D011506:Proteins