title: Context shapes: Efficient complementary shape matching for protein-protein docking.
abstract: We describe an efficient method for partial complementary shape matching for use in rigid protein-protein docking. The local shape features of a protein are represented using boolean data structures called Context Shapes. The relative orientations of the receptor and ligand surfaces are searched using precalculated lookup tables. Energetic quantities are derived from shape complementarity and buried surface area computations, using efficient boolean operations. Preliminary results indicate that our context shapes approach outperforms state-of-the-art geometric shape-based rigid-docking algorithms.
authors.affiliation: Department of Computer Science, Rensselaer Polytechnic Institute, Troy, New York 12180, USA.
authors.forename: Zujun
authors.initials: Z
authors.lastname: Shentu
authors.forename: Mohammad
authors.initials: M
authors.lastname: Al Hasan
authors.forename: Christopher
authors.initials: C
authors.lastname: Bystroff
authors.forename: Mohammed J
authors.initials: MJ
authors.lastname: Zaki
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D008024:Ligands; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry*; D013816:Thermodynamics
chemical_list: D008024:Ligands; D011506:Proteins