Hassan Sergio A, Mehler Ernest L, Zhang Daqun, Weinstein Harel
Department of Physiology and Biophysics, Mount Sinai School of Medicine, New York, NY 10029, USA.
Proteins. 2003 Apr 1;51(1):109-25. doi: 10.1002/prot.10330.
A continuum electrostatics approach for molecular dynamics (MD) simulations of macromolecules is presented and analyzed for its performance on a peptide and a globular protein. The approach incorporates the screened Coulomb potential (SCP) continuum model of electrostatics, which was reported earlier. The model was validated in a broad set of tests some of which were based on Monte Carlo simulations that included single amino acids, peptides, and proteins. The implementation for large-scale MD simulations presented in this article is based on a pairwise potential that makes the electrostatic model suitable for fast analytical calculation of forces. To assess the suitability of the approach, a preliminary validation is conducted, which consists of (i) a 3-ns MD simulation of the immunoglobulin-binding domain of streptococcal protein G, a 56-residue globular protein and (ii) a 3-ns simulation of Dynorphin, a biological peptide of 17 amino acids. In both cases, the results are compared with those obtained from MD simulations using explicit water (EW) molecules in an all-atom representation. The initial structure of Dynorphin was assumed to be an alpha-helix between residues 1 and 9 as suggested from NMR measurements in micelles. The results obtained in the MD simulations show that the helical structure collapses early in the simulation, a behavior observed in the EW simulation and consistent with spectroscopic data that suggest that the peptide may adopt mainly an extended conformation in water. The dynamics of protein G calculated with the SCP implicit solvent model (SCP-ISM) reveals a stable structure that conserves all the elements of secondary structure throughout the entire simulation time. The average structures calculated from the trajectories with the implicit and explicit solvent models had a cRMSD of 1.1 A, whereas each average structure had a cRMSD of about 0.8A with respect to the X-ray structure. The main conformational differences of the average structures with respect to the crystal structure occur in the loop involving residues 8-14. Despite the overall similarity of the simulated dynamics with EW and SCP models, fluctuations of side-chains are larger when the implicit solvent is used, especially in solvent exposed side-chains. The MD simulation of Dynorphin was extended to 40 ns to study its behavior in an aqueous environment. This long simulation showed that the peptide has a tendency to form an alpha-helical structure in water, but the stabilization free energy is too weak, resulting in frequent interconversions between random and helical conformations during the simulation time. The results reported here suggest that the SCP implicit solvent model is adequate to describe electrostatic effects in MD simulation of both peptides and proteins using the same set of parameters. It is suggested that the present approach could form the basis for the development of a reliable and general continuum approach for use in molecular biology, and directions are outlined for attaining this long-term goal.
本文提出并分析了一种用于大分子分子动力学(MD)模拟的连续介质静电学方法,并评估了其在一种肽和一种球状蛋白上的性能。该方法纳入了先前报道的静电屏蔽库仑势(SCP)连续介质模型。该模型在一系列广泛的测试中得到了验证,其中一些测试基于蒙特卡罗模拟,包括单个氨基酸、肽和蛋白质。本文中大规模MD模拟的实现基于一种成对势,这使得静电模型适用于力的快速解析计算。为了评估该方法的适用性,进行了初步验证,包括(i)对链球菌蛋白G的免疫球蛋白结合结构域(一种含56个残基的球状蛋白)进行3纳秒的MD模拟,以及(ii)对强啡肽(一种含17个氨基酸的生物肽)进行3纳秒的模拟。在这两种情况下,将结果与使用全原子表示的显式水分子进行MD模拟得到的结果进行比较。根据胶束中的核磁共振测量结果,假定强啡肽的初始结构为第1至9位残基之间的α螺旋。MD模拟结果表明,螺旋结构在模拟早期就会坍塌,这一行为在显式水分子模拟中也有观察到,并且与光谱数据一致,光谱数据表明该肽在水中可能主要采取伸展构象。用SCP隐式溶剂模型(SCP-ISM)计算的蛋白G的动力学揭示了一种稳定的结构,在整个模拟时间内保留了二级结构的所有元素。用隐式和显式溶剂模型从轨迹计算得到的平均结构的cRMSD为1.1埃,而每个平均结构相对于X射线结构的cRMSD约为0.8埃。平均结构相对于晶体结构的主要构象差异出现在涉及第8至14位残基的环中。尽管使用显式水分子和SCP模型模拟的动力学总体相似,但使用隐式溶剂时侧链的波动更大,尤其是在暴露于溶剂中的侧链。将强啡肽的MD模拟扩展到40纳秒,以研究其在水环境中的行为。这个长时间的模拟表明,该肽在水中有形成α螺旋结构的趋势,但稳定自由能太弱,导致在模拟时间内随机构象和螺旋构象之间频繁相互转换。本文报道的结果表明,SCP隐式溶剂模型足以使用同一组参数描述肽和蛋白质MD模拟中的静电效应。建议本方法可为开发一种可靠且通用的连续介质方法用于分子生物学奠定基础,并概述了实现这一长期目标的方向。