title: The LabelHash server and tools for substructure-based functional annotation.
abstract: CONCLUSIONS
  The LabelHash server and tools are designed for large-scale substructure comparison. The main use is to predict the function of unknown proteins. Given a set of (putative) functional residues, LabelHash finds all occurrences of matching substructures in the entire Protein Data Bank, along with a statistical significance estimate and known functional annotations for each match. The results can be downloaded for further analysis in any molecular viewer. For Chimera, there is a plugin to facilitate this process.
  
  
  BACKGROUND
  The web site is free and open to all users with no login requirements at http://labelhash.kavrakilab.org
authors.affiliation: Department of Computer Science, Rice University, Houston, TX 77005, USA. mmoll@rice.edu
authors.forename: Mark
authors.initials: M
authors.lastname: Moll
authors.forename: Drew H
authors.initials: DH
authors.lastname: Bryant
authors.forename: Lydia E
authors.initials: LE
authors.lastname: Kavraki
mesh_terms: D000465:Algorithms; D020816:Amino Acid Motifs; D019295:Computational Biology / Q000379:methods; D030562:Databases, Protein; D020407:Internet; D058977:Molecular Sequence Annotation / Q000379:methods*; D011506:Proteins / Q000378:metabolism*; D013329:Structure-Activity Relationship; D014584:User-Computer Interface
chemical_list: D011506:Proteins