Department of Oral and Dental Science, University of Bristol, Lower Maudlin Street, Bristol, UK BS1 2LY.
Phys Chem Chem Phys. 2009 Dec 7;11(45):10722-8. doi: 10.1039/b911702d. Epub 2009 Oct 14.
The accurate prediction of ligand-receptor interaction energies by molecular modelling methods remains challenging. Predicting and understanding the sequence-selectivity of DNA minor groove-binding ligands constitutes a particularly interesting and potentially valuable aspect of this. Here, we use experimental data on the binding of Hoechst 33258 to the minor groove of various A/T-rich DNA duplexes to evaluate the reliability of a popular class of molecular modelling methods based on the energetic analysis of molecular dynamics (MD) simulations. We examine how performance depends on the use of explicit versus implicit solvent models, on the use of generalised Born versus Poisson-Boltzmann models to evaluate solvent-associated energetic terms, and the use of normal mode analysis to evaluate entropic factors. Quantitatively evaluating many different combinations of methodologies, we find that the most reliable results are obtained when the MD simulations are performed in explicit solvent, when the data is processed using the MM-PB/SA approach, and when normal mode analysis is used to estimate configurational entropy changes.
通过分子建模方法准确预测配体-受体相互作用能仍然具有挑战性。预测和理解 DNA 小沟结合配体的序列选择性是这方面特别有趣和有潜在价值的方面。在这里,我们使用 Hoechst 33258 与各种富含 A/T 的 DNA 双链体小沟结合的实验数据来评估基于分子动力学 (MD) 模拟能量分析的一类流行分子建模方法的可靠性。我们研究了在使用显式溶剂模型与隐式溶剂模型、使用广义 Born 模型与泊松-玻尔兹曼模型来评估溶剂相关能量项,以及使用正则模态分析来评估熵因素时,性能如何取决于这些因素。通过对许多不同方法组合的定量评估,我们发现当 MD 模拟在显式溶剂中进行,当使用 MM-PB/SA 方法处理数据,以及当使用正则模态分析来估计构象熵变化时,可以获得最可靠的结果。