蛋白质和蛋白质配体复合物的极化建模:方法和初步结果。

Richard A Friesner
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引用次数: 60

摘要

本章讨论了蛋白质和蛋白质配体复合物中电子极化的建模方法。考虑了两种不同的方法:明确地将极化纳入分子力学力场和使用混合量子力学/分子力学方法来模拟蛋白质或蛋白质配体复合物的限制区域中的极化。简要介绍了计算方法和参数化协议,然后介绍了两项初步研究的结果。第一项研究采用量子力学/分子力学(QM/MM)方法提高了蛋白质与配体对接的精度;在这里,极化的结合被证明可以通过对对接配体正确氢键模式的选择进行定性改进,从而显著提高蛋白质-配体对接结构预测准确性的稳健性。第二项研究讨论了牛胰蛋白酶抑制剂(BPTI)在水中的2-ns模拟,使用蛋白质和溶剂的各种固定电荷和极化模型,分析了观察到的均方根偏差(RMSD)、蛋白质内氢键、水结构和动力学。所有这些努力都处于相对早期的发展阶段,结果令人鼓舞,因为已经开发出稳定的方法,并且可以看到极化的显着影响,并且(在基于QM/ mm的对接的情况下)与实验相比,已经验证了改进。关于完整模拟的准确性和鲁棒性,需要做大量的工作来量化和改进现有的模型。
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Modeling Polarization in Proteins and Protein-ligand Complexes: Methods and Preliminary Results.

This chapter discusses methods for modeling electronic polarization in proteins and protein-ligand complexes. Two different approaches are considered: explicit incorporation of polarization into a molecular mechanics force field and the use of mixed quantum mechanics/molecular mechanics methods to model polarization in a restricted region of the protein or protein-ligand complex. A brief description is provided of the computational methodology and parameterization protocols and then results from two preliminary studies are presented. The first study employs quantum mechanics/molecular mechanics (QM/MM) methods to improve the accuracy of protein-ligand docking; here, incorporation of polarization is shown to dramatically improve the robustness of the accuracy of structural prediction of the protein-ligand docking by enabling qualitative improvement in the selection of the correct hydrogen bonding patterns of the docked ligand. The second study discusses a 2-ns simulation of bovine pancreatic trypsin inhibitor (BPTI) in water using a variety of fixed charge and polarizable models for both the protein and the solvent, analyzing observed root mean square deviations (RMSD), intraprotein hydrogen bonding, and water structure and dynamics. All of these efforts are in a relatively early stage of development, the results are encouraging in that stable methods have been developed, and significant effects of polarization are seen and (in the case of the QM/MM-based docking) improvements have been validated as compared to experiment. With regard to accuracy and robustness of full simulations, a great deal more work needs to be done to quantitate and improve the present models.

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