title: Distance-restrained docking of rifampicin and rifamycin SV to RNA polymerase using systematic FRET measurements: developing benchmarks of model quality and reliability.
abstract: We are developing distance-restrained docking strategies for modeling macromolecular complexes that combine available high-resolution structures of the components and intercomponent distance restraints derived from systematic fluorescence resonance energy transfer (FRET) measurements. In this article, we consider the problem of docking small-molecule ligands within macromolecular complexes. Using simulated FRET data, we have generated a series of benchmarks that permit estimation of model accuracy based on the quantity and quality of FRET-derived distance restraints, including the number, random error, systematic error, distance distribution, and radial distribution of FRET-derived distance restraints. We find that expected model accuracy is 10 A or better for models based on: i), > or =20 restraints with up to 15% random error and no systematic error, or ii), > or =20 restraints with up to 15% random error, up to 10% systematic error, and a symmetric radial distribution of restraints. Model accuracies can be improved to 5 A or better by increasing the number of restraints to > or =40 and/or by optimizing the distance distribution of restraints. Using experimental FRET data, we have defined the positions of the binding sites within bacterial RNA polymerase of the small-molecule inhibitors rifampicin (Rif) and rifamycin SV (Rif SV). The inferred binding sites for Rif and Rif SV were located with accuracies of, respectively, 7 and 10 A relative to the crystallographically defined binding site for Rif. These accuracies agree with expectations from the benchmark simulations and suffice to indicate that the binding sites for Rif and Rif SV are located within the RNA polymerase active-center cleft, overlapping the binding site for the RNA-DNA hybrid.
authors.affiliation: Department of Chemistry and Chemical Biology and the BioMaPS Institute for Quantitative Biology, and Howard Hughes Medical Institute, Waksman Institute, Rutgers University, Piscataway, New Jersey 08854, USA.
authors.forename: Jennifer L
authors.initials: JL
authors.lastname: Knight
authors.forename: Vladimir
authors.initials: V
authors.lastname: Mekler
authors.forename: Jayanta
authors.initials: J
authors.lastname: Mukhopadhyay
authors.forename: Richard H
authors.initials: RH
authors.lastname: Ebright
authors.forename: Ronald M
authors.initials: RM
authors.lastname: Levy
mesh_terms: D001665:Binding Sites; D003198:Computer Simulation; D012321:DNA-Directed RNA Polymerases / Q000737:chemistry* / Q000648:ultrastructure; D031541:Fluorescence Resonance Energy Transfer / Q000379:methods*; D008956:Models, Chemical; D008958:Models, Molecular; D009038:Motion; D046912:Multiprotein Complexes / Q000032:analysis / Q000737:chemistry / Q000648:ultrastructure; D011485:Protein Binding; D025941:Protein Interaction Mapping / Q000379:methods*; D011786:Quality Control; D015203:Reproducibility of Results; D012293:Rifampin / Q000032:analysis / Q000737:chemistry*; D012294:Rifamycins / Q000032:analysis / Q000737:chemistry*; D012680:Sensitivity and Specificity
chemical_list: D046912:Multiprotein Complexes; D012294:Rifamycins; C023808:rifamycin SV; D012321:DNA-Directed RNA Polymerases; D012293:Rifampin