PREDICTION OF LIGAND-RECEPTOR BINDING THERMODYNAMICS BY FREE-ENERGY FORCE-FIELD (FEFF) 3D-QSAR ANALYSIS - APPLICATION TO A SET OF PEPTIDOMETIC RENIN INHIBITORS

Citation
Js. Tokarski et Aj. Hopfinger, PREDICTION OF LIGAND-RECEPTOR BINDING THERMODYNAMICS BY FREE-ENERGY FORCE-FIELD (FEFF) 3D-QSAR ANALYSIS - APPLICATION TO A SET OF PEPTIDOMETIC RENIN INHIBITORS, Journal of chemical information and computer sciences, 37(4), 1997, pp. 792-811
Citations number
36
Categorie Soggetti
Information Science & Library Science","Computer Application, Chemistry & Engineering","Computer Science Interdisciplinary Applications",Chemistry,"Computer Science Information Systems
ISSN journal
00952338
Volume
37
Issue
4
Year of publication
1997
Pages
792 - 811
Database
ISI
SICI code
0095-2338(1997)37:4<792:POLBTB>2.0.ZU;2-L
Abstract
A methodology is presented and applied in which the accurate estimatio n of ligand-receptor binding thermodynamics is achieved by formulating the calculation as a QSAR problem. When the receptor geometry is know n, the free energy force field (FEFF) ligand-receptor binding energy t erms can be calculated and used as independent variables in constructi ng FEFF 3D-QSARs. The FEFF 3D-QSAR analysis of a series of transition state inhibitors of renin was carried out. From a statistical analysis of the free energy contributions to the binding process, FEFF 3D-QSAR s were constructed that reveal the change in solvation free energy upo n binding and the intramolecular vacuum internal energy of the ligand in the unbound state are the most significant FEFF terms in determinin g the binding free energy, Delta G. Other terms, such as ligand stretc hing, bending, and torsion energy changes, the intermolecular van der Waals interaction energy, and change in ligand conformational entropy upon binding, are also found to make significant contributions in some FEFF 3D-QSAR Delta G models and in Delta H and Delta S binding models . Overall, a relatively small number of the thermodynamic contribution s to the ligand-receptor binding process dominates the thermodynamics of binding in a given model.