Prediction of the drug-target binding kinetics for flexible proteins by comparative binding energy analysis

• Verfasst von: Nunes-Alves, Ariane [VerfasserIn]
• Verfasst von: Ormersbach, Fabian [VerfasserIn]
• Verfasst von: Wade, Rebecca C. [VerfasserIn]
• Titel: Prediction of the drug-target binding kinetics for flexible proteins by comparative binding energy analysis
• Verf.angabe: Ariane Nunes-Alves, Fabian Ormersbach, and Rebecca C. Wade
• E-Jahr: 2021
• Jahr: July 1, 2021
• Umfang: 14 S.
• Teil: volume:61
• Teil: year:2021
• Teil: number:7
• Teil: pages:3708-3721
• Teil: extent:14
• Fussnoten: Gesehen am 29.09.2021
• Titel Quelle: Enthalten in: Journal of chemical information and modeling
• Ort Quelle: Washington, DC : American Chemical Society, 1975
• Jahr Quelle: 2021
• Band/Heft Quelle: 61(2021), 7, Seite 3708-3721
• ISSN Quelle: 1549-960X
• DOI: doi:10.1021/acs.jcim.1c00639
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1772050792

Abstract

There is growing consensus that the optimization of the kinetic parameters for drug-protein binding leads to improved drug efficacy. Therefore, computational methods have been developed to predict kinetic rates and to derive quantitative structure-kinetic relationships (QSKRs). Many of these methods are based on crystal structures of ligand-protein complexes. However, a drawback is that each ligand-protein complex is usually treated as having a single structure. Here, we present a modification of COMparative BINding Energy (COMBINE) analysis, which uses the structures of ligand-protein complexes to predict binding parameters. We introduce the option of using multiple structures to describe each ligand-protein complex in COMBINE analysis and apply this to study the effects of protein flexibility on the derivation of dissociation rate constants (koff) for inhibitors of p38 mitogen-activated protein (MAP) kinase, which has a flexible binding site. Multiple structures were obtained for each ligand-protein complex by performing docking to an ensemble of protein configurations obtained from molecular dynamics simulations. Coefficients to scale ligand-protein interaction energies determined from energy-minimized structures of ligand-protein complexes were obtained by partial least squares regression, and they allowed for the computation of koff values. The QSKR model obtained using single, energy-minimized crystal structures for each ligand-protein complex had higher predictive power than the QSKR model obtained with multiple structures from ensemble docking. However, incorporation of ligand-protein flexibility helped to highlight additional ligand-protein interactions that lead to longer residence times, such as interactions with residues Arg67 and Asp168, which are close to the ligand in many crystal structures. These results show that COMBINE analysis is a promising method to guide the design of compounds that bind to flexible proteins with improved binding kinetics.