RESUMEN
High-throughput screening (HTS) is changing as more compounds and better assay techniques become available. HTS is also generating a large amount of data. There is a need to rationalize the HTS process, because, in some cases, the screening of all available compounds is not economically feasible. In addition to the selection of promising compounds, there is a need to learn from the data that we collect. In this paper, we use a data-mining method, recursive partitioning, to help uncover and understand structure-activity relations and to help biology and chemistry experts make better decisions on which compounds to screen next and better characterize. The sequential-screening process is presented and the results of applying that process to 14 G-protein-coupled receptor assays are reported.
Asunto(s)
Evaluación Preclínica de Medicamentos/métodos , Proteínas de Unión al GTP/química , Modelos Teóricos , Receptores de Droga/química , Relación Estructura-Actividad , Animales , Relación Dosis-Respuesta a DrogaRESUMEN
The binding of sulfonamide inhibitors to human thrombin is examined to evaluate the viability of calculating free energies of binding, deltaGb, utilizing Monte Carlo (MC) statistical mechanics with a linear response approach. Coulombic and van der Waals energy components determined from MC simulations of the bound and unbound inhibitors solvated in water plus a solvent-accessible surface area term, as an index for cavity formation, were correlated with the free energies of binding for the inhibitor MD-805 and six derivatives. The best correlations yield an average error of 0.8 kcal/mol for the seven binding affinities, which cover an observed range of 6.0 kcal/mol. The MC simulations also provided insights into the interactions occurring in the active site and the origins of variations in deltaGb. Equatorial placement of the carboxylate group at C2 in the piperidine ring of the inhibitors causes electrostatic destabilization with the side chain of Glu-H192, while axial disposition of the C4-methyl group reduces favorable hydrophobic interactions in the P-pocket of the enzyme.