title: Visual cavity analysis in molecular simulations.
abstract: Molecular surfaces provide a useful mean for analyzing interactions between biomolecules; such as identification and characterization of ligand binding sites to a host macromolecule. We present a novel technique, which extracts potential binding sites, represented by cavities, and characterize them by 3D graphs and by amino acids. The binding sites are extracted using an implicit function sampling and graph algorithms. We propose an advanced cavity exploration technique based on the graph parameters and associated amino acids. Additionally, we interactively visualize the graphs in the context of the molecular surface. We apply our method to the analysis of MD simulations of Proteinase 3, where we verify the previously described cavities and suggest a new potential cavity to be studied.
authors.forename: Julius
authors.initials: J
authors.lastname: Parulek
authors.forename: Cagatay
authors.initials: C
authors.lastname: Turkay
authors.forename: Nathalie
authors.initials: N
authors.lastname: Reuter
authors.forename: Ivan
authors.initials: I
authors.lastname: Viola
mesh_terms: D000465:Algorithms; D000596:Amino Acids / Q000737:chemistry*; D001665:Binding Sites; D019295:Computational Biology / Q000379:methods*; D003196:Computer Graphics; D006801:Humans; D008024:Ligands; D008958:Models, Molecular; D062105:Molecular Docking Simulation; D053146:Myeloblastin / Q000737:chemistry; D017434:Protein Structure, Tertiary
chemical_list: D000596:Amino Acids; D008024:Ligands; D053146:Myeloblastin