title: SiteLight: binding-site prediction using phage display libraries.
abstract: Phage display enables the presentation of a large number of peptides on the surface of phage particles. Such libraries can be tested for binding to target molecules of interest by means of affinity selection. Here we present SiteLight, a novel computational tool for binding site prediction using phage display libraries. SiteLight is an algorithm that maps the 1D peptide library onto a three-dimensional (3D) protein surface. It is applicable to complexes made up of a protein Template and any type of molecule termed Target. Given the three-dimensional structure of a Template and a collection of sequences derived from biopanning against the Target, the Template interaction site with the Target is predicted. We have created a large diverse data set for assessing the ability of SiteLight to correctly predict binding sites. SiteLight predictive mapping enables discrimination between the binding and nonbinding parts of the surface. This prediction can be used to effectively reduce the surface by 75% without excluding the binding site. In 63% of the cases we have tested, there is at least one binding site prediction that overlaps the interface by at least 50%. These results suggest the applicability of phage display libraries for automated binding site prediction on three-dimensional structures. For most effective binding site prediction we propose using a random phage display library twice, to scan both binding partners of a given complex. The derived peptides are mapped to the other binding partner (now used as a Template). Here, the surface of each partner is reduced by 75%, focusing their relative positions with respect to each other significantly. Such information can be utilized to improve docking algorithms and scoring functions.
authors.affiliation: Sackler Institute of Molecular Medicine, Department of Human Genetics and Molecular Medicine, Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel.
authors.forename: Inbal
authors.initials: I
authors.lastname: Halperin
authors.forename: Haim
authors.initials: H
authors.lastname: Wolfson
authors.forename: Ruth
authors.initials: R
authors.lastname: Nussinov
mesh_terms: D000465:Algorithms; D000818:Animals; D001435:Bacteriophages / Q000737:chemistry / Q000235:genetics*; D001665:Binding Sites; D002352:Carrier Proteins / Q000737:chemistry; D020650:Combinatorial Chemistry Techniques; D004268:DNA-Binding Proteins; D030562:Databases, Protein; D050883:HSC70 Heat-Shock Proteins; D018840:HSP70 Heat-Shock Proteins / Q000737:chemistry / Q000235:genetics; D006801:Humans; D010446:Peptide Fragments / Q000737:chemistry / Q000302:isolation & purification; D019151:Peptide Library; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry / Q000145:classification / Q000235:genetics*; D011993:Recombinant Fusion Proteins / Q000737:chemistry / Q000235:genetics; D015203:Reproducibility of Results; D014157:Transcription Factors
chemical_list: C091732:BCL2-associated athanogene 1 protein; D002352:Carrier Proteins; D004268:DNA-Binding Proteins; D050883:HSC70 Heat-Shock Proteins; D018840:HSP70 Heat-Shock Proteins; C494371:HSPA8 protein, human; D010446:Peptide Fragments; D019151:Peptide Library; D011506:Proteins; D011993:Recombinant Fusion Proteins; D014157:Transcription Factors