title: Characterization of receptors with a new negative image: use in molecular docking and lead optimization.
abstract: The characterization of receptor binding sites is an important aspect of molecular docking, molecular recognition, and the structure-based design process. This characterization can take several forms: the receptor surface itself can be delineated or described, the space adjacent to the surface can be chemically mapped, or a negative image of the protein binding region can be generated. In this report, we describe a new method of constructing a negative image through generation of a set of spheres. These spheres lie along the receptor surface, and their centers represent possible ligand atom positions. By the method in which they are constructed, these spheres carry a limited amount of energetic and chemical information in addition to their primary geometric information. We test the accuracy of the image by comparing sphere positions to the positions of bound ligand atoms and propose a figure of merit for such tests. Then, we use the spheres to orient ligands in enzyme active sites and show how they can be used to generate low scoring configurations more efficiently than other approaches that search orientation space. In addition, two novel applications of these spheres are described: they are used to help identify structural differences among families of enzymes and to suggest points for ligand modification in analog design.
authors.affiliation: Department of Pharmaceutical Chemistry, University of California, San Francisco 94143, USA.
authors.forename: C M
authors.initials: CM
authors.lastname: Oshiro
authors.forename: I D
authors.initials: ID
authors.lastname: Kuntz
mesh_terms: D000465:Algorithms; D001665:Binding Sites; D004791:Enzyme Inhibitors / Q000378:metabolism; D004798:Enzymes / Q000737:chemistry*; D016333:HIV Protease / Q000737:chemistry; D008024:Ligands; D008958:Models, Molecular; D015394:Molecular Structure
chemical_list: D004791:Enzyme Inhibitors; D004798:Enzymes; D008024:Ligands; D016333:HIV Protease