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Transferable scoring function based on semiempirical quantum mechanical PM6-DH2 method: CDK2 with 15 structurally diverse inhibitors

P. Dobeš, J. Fanfrlík, J. Rezáč, M. Otyepka, P. Hobza

. 2011 ; 25 (3) : 223-235. [pub] 20110201

Language English Country Netherlands

Document type Journal Article, Research Support, Non-U.S. Gov't

E-resources Online Full text

NLK ProQuest Central from 1997-01-01 to 1 year ago
Medline Complete (EBSCOhost) from 2003-01-01 to 1 year ago
Health & Medicine (ProQuest) from 1997-01-01 to 1 year ago

A semiempirical quantum mechanical PM6-DH2 method accurately covering the dispersion interaction and H-bonding was used to score fifteen structurally diverse CDK2 inhibitors. The geometries of all the complexes were taken from the X-ray structures and were reoptimised by the PM6-DH2 method in continuum water. The total scoring function was constructed as an estimate of the binding free energy, i.e., as a sum of the interaction enthalpy, interaction entropy and the corrections for the inhibitor desolvation and deformation energies. The applied scoring function contains a clear thermodynamical terms and does not involve any adjustable empirical parameter. The best correlations with the experimental inhibition constants (ln K (i)) were found for bare interaction enthalpy (r (2) = 0.87) and interaction enthalpy corrected for ligand desolvation and deformation energies (r (2) = 0.77); when the entropic term was considered, however, the correlation becomes worse but still acceptable (r (2) = 0.52). The resulting correlation based on the PM6-DH2 scoring function is better than previously published function based on various docking/scoring, SAR studies or advanced QM/MM approach, however, the robustness is limited by number of available experimental data used in the correlation. Since a very similar correlation between the experimental and theoretical results was found also for a different system of the HIV-1 protease, the suggested scoring function based on the PM6-DH2 method seems to be applicable in drug design, even if diverse protein-ligand complexes have to be ranked.

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