Institute of Organic Chemistry and Biochemistry, Academy of Sciences of the Czech Republic and Center for Biomolecules and Complex Molecular Systems, Flemingovo nám. 2, 166 10 Prague 6, Czech Republic.
J Comput Aided Mol Des. 2011 Mar;25(3):223-35. doi: 10.1007/s10822-011-9413-5. Epub 2011 Feb 1.
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.
采用一种半经验量子力学 PM6-DH2 方法准确涵盖色散相互作用和氢键,对 15 种结构多样的 CDK2 抑制剂进行了评分。所有复合物的几何形状均取自 X 射线结构,并通过 PM6-DH2 方法在连续水环境中进行重新优化。总评分函数被构建为结合自由能的估计值,即相互作用焓、相互作用熵以及抑制剂去溶剂化和变形能的校正之和。所应用的评分函数包含明确的热力学项,不涉及任何可调经验参数。与实验抑制常数(ln K (i))的最佳相关性是bare interaction enthalpy(r (2) = 0.87)和interaction enthalpy 校正后的配体去溶剂化和变形能(r (2) = 0.77);然而,当考虑熵项时,相关性会变差,但仍然可以接受(r (2) = 0.52)。基于 PM6-DH2 评分函数的结果相关性优于以前基于各种对接/评分、SAR 研究或高级 QM/MM 方法的函数,但是,由于相关性中使用的实验数据数量有限,因此稳健性受到限制。由于在 HIV-1 蛋白酶的不同系统中也发现了实验和理论结果之间非常相似的相关性,因此基于 PM6-DH2 方法的建议评分函数似乎适用于药物设计,即使必须对不同的蛋白质-配体复合物进行排名。