title: The protein-small-molecule database, a non-redundant structural resource for the analysis of protein-ligand binding.
abstract: BACKGROUND
  An enabling resource for drug discovery and protein function prediction is a large, accurate and actively maintained collection of protein/small-molecule complex structures. Models of binding are typically constructed from these structural libraries by generalizing the observed interaction patterns. Consequently, the quality of the model is dependent on the quality of the structural library. An ideal library should be non-biased and comprehensive, contain high-resolution structures and be actively maintained.
  
  
  RESULTS
  We present a new protein/small-molecule database (the PSMDB) that offers a non-redundant set of holo PDB complexes. The database was designed to allow frequent updates through a fully automated process without manual annotation or filtering. Our method of database construction addresses redundancy at both the protein and the small-molecule level. By efficiently handling structures with covalently bound ligands, we allow our database to include a larger number of structures than previous methods. Multiple versions of the database are available at our web site, including structures of split complexes--the proteins without their binding ligands and the non-covalently bound ligands within their native coordinate frame.
  
  
  BACKGROUND
  http://compbio.cs.toronto.edu/psmdb
authors.affiliation: Department of Computer Science, University of Toronto, Toronto, Ontario, Canada. izharw@cs.toronto.edu
authors.forename: Izhar
authors.initials: I
authors.lastname: Wallach
authors.forename: Ryan
authors.initials: R
authors.lastname: Lilien
mesh_terms: D001665:Binding Sites; D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D008024:Ligands; D011506:Proteins / Q000737:chemistry* / Q000378:metabolism
chemical_list: D008024:Ligands; D011506:Proteins