title: Large-scale binding ligand prediction by improved patch-based method Patch-Surfer2.0.
abstract: BACKGROUND
  Ligand binding is a key aspect of the function of many proteins. Thus, binding ligand prediction provides important insight in understanding the biological function of proteins. Binding ligand prediction is also useful for drug design and examining potential drug side effects.
  
  
  RESULTS
  We present a computational method named Patch-Surfer2.0, which predicts binding ligands for a protein pocket. By representing and comparing pockets at the level of small local surface patches that characterize physicochemical properties of the local regions, the method can identify binding pockets of the same ligand even if they do not share globally similar shapes. Properties of local patches are represented by an efficient mathematical representation, 3D Zernike Descriptor. Patch-Surfer2.0 has significant technical improvements over our previous prototype, which includes a new feature that captures approximate patch position with a geodesic distance histogram. Moreover, we constructed a large comprehensive database of ligand binding pockets that will be searched against by a query. The benchmark shows better performance of Patch-Surfer2.0 over existing methods.
  
  
  METHODS
  http://kiharalab.org/patchsurfer2.0/ CONTACT: dkihara@purdue.edu
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Department of Biological Science, Purdue University, West Lafayette, IN 47906, USA and Department of Computer Science, Purdue University, West Lafayette, IN 47906, USA.
authors.forename: Xiaolei
authors.initials: X
authors.lastname: Zhu
authors.affiliation: Department of Biological Science, Purdue University, West Lafayette, IN 47906, USA and Department of Computer Science, Purdue University, West Lafayette, IN 47906, USA.
authors.forename: Yi
authors.initials: Y
authors.lastname: Xiong
authors.affiliation: Department of Biological Science, Purdue University, West Lafayette, IN 47906, USA and Department of Computer Science, Purdue University, West Lafayette, IN 47906, USA Department of Biological Science, Purdue University, West Lafayette, IN 47906, USA and Department of Computer Science, Purdue University, West Lafayette, IN 47906, USA.
authors.forename: Daisuke
authors.initials: D
authors.lastname: Kihara
mesh_terms: D000465:Algorithms; D001665:Binding Sites; D003198:Computer Simulation; D006801:Humans; D008024:Ligands; D008432:Mathematical Computing; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry* / Q000378:metabolism*
chemical_list: D008024:Ligands; D011506:Proteins