title: iLoops: a protein-protein interaction prediction server based on structural features.
abstract: CONCLUSIONS
  Protein-protein interactions play a critical role in many biological processes. Despite that, the number of servers that provide an easy and comprehensive method to predict them is still limited. Here, we present iLoops, a web server that predicts whether a pair of proteins can interact using local structural features. The inputs of the server are as follows: (i) the sequences of the query proteins and (ii) the pairs to be tested. Structural features are assigned to the query proteins by sequence similarity. Pairs of structural features (formed by loops or domains) are classified according to their likelihood to favor or disfavor a protein-protein interaction, depending on their observation in known interacting and non-interacting pairs. The server evaluates the putative interaction using a random forest classifier.
  
  
  BACKGROUND
  iLoops is available at http://sbi.imim.es/iLoops.php
  
  
  BACKGROUND
  baldo.oliva@upf.edu
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Structural Bioinformatics Laboratory, Universitat Pompeu Fabra, 08003 Barcelona, Spain.
authors.forename: Joan
authors.initials: J
authors.lastname: Planas-Iglesias
authors.forename: Manuel A
authors.initials: MA
authors.lastname: Marin-Lopez
authors.forename: Jaume
authors.initials: J
authors.lastname: Bonet
authors.forename: Javier
authors.initials: J
authors.lastname: Garcia-Garcia
authors.forename: Baldo
authors.initials: B
authors.lastname: Oliva
mesh_terms: D006801:Humans; D011487:Protein Conformation; D025941:Protein Interaction Mapping; D011506:Proteins / Q000737:chemistry / Q000378:metabolism; D020539:Sequence Analysis, Protein; D012984:Software
chemical_list: D011506:Proteins