Theoretical Studies of Aqueous Solvation of Proteins

蛋白质水溶剂化的理论研究

• 批准号: 0544629
• 负责人: Toshiko Ichiye
• 金额: $ 63.97万
• 依托单位: Georgetown University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-04-15 至 2011-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0544629&HistoricalAwards=false
• 关键词: Theoretical; Studies; Aqueous; Solvation; Proteins

This project will lead to a better understanding of the physical origins of protein-water interactions and also the anomalous properties of liquid water. Water plays a crucial role in the structure and function of proteins such as in folding, enzymatic activity, and molecular recognition. However, water is a complex solvent whose properties are still not completely understood. The overall goals of this project are 1) to develop fast and accurate treatments of solvent effects in computer simulations of biological macromolecules and 2) to understand the nature of protein solvation using computer simulations. The focus of this project is on the development of the new soft, sticky dipole-quadrupole-octopole (SSDQO) potential energy model of water for computer simulations of biological systems. The SSDQO model is a modification of the old soft, sticky dipole (SSD) single-point model, which was an advance over the three-site models commonly used for biological simulations because it has better structural, dielectric and dynamical properties and yet is four times faster in molecular dynamics (MD) and seven times faster in Monte Carlo (MC) simulations. The new SSDQO model is a single-point model with a Lennard-Jones sphere and a point dipole, quadrupole, and octopole and the new sticky interaction potential is an approximate moment expansion. The first objective is to optimize the moment parameters of the SSDQO model to reproduce the properties of liquid water. Thermodynamic, dynamic and structural properties will be calculated using MD and/or MC simulations and compared with experimental data. Once the non-polarizable model is optimized, polarization will be added consistent with the CHARMM force field. Second objective is to elucidate the underlying physics of protein-water interactions. First, the solvation of simple peptides in SSDQO water will be studied by MD and/or MC simulations and compared with experimental data. Next, rubredoxin in solution and crystalline environment using SSDQO water will be studied using MD simulations and compared to simulations using TIP3P water and a high-resolution crystal structure. Third objective is to determine the physical origins of the anomalous properties of liquid water, which is also important for validating the use of the model under a wide range of conditions such as in a crowded living cell. The temperature dependence of the density and of the diffusion constant of SSDQO water will be studied in MD simulations using the decomposition of the energy into moment terms in the SSDQO potential. Fourth objective is to extend the SSDQO model to complicated molecules such as proteins, which represents a future direction for this research. The feasibility of extending the approximate moment expansion to other molecules and chemical moieties such as peptides within molecules will be examined via MC simulations. This project will lead to increased speed and accuracy of computer simulations of a wide variety of biological, chemical and physical systems involving liquid water. The model will be made compatible with the CHARMM force field and will be implemented into the CHARMM computer program, which is widely used for molecular mechanics/dynamics studies of biomolecules. Thus, the model will be readily accessible to other researchers. This research will also train students in computational science. The principal investigator's group is ethnically and racially diverse and currently has two female graduate students. Outreach efforts will focus on women, who are traditionally underrepresented in mathematical and computational areas of science.

该项目将导致更好地了解蛋白质-水相互作用的物理起源以及液态水的异常性质。 水在蛋白质的结构和功能中起着至关重要的作用，例如折叠，酶活性和分子识别。 然而，水是一种复杂的溶剂，其性质尚未完全了解。 该项目的总体目标是：1）在生物大分子的计算机模拟中开发快速准确的溶剂效应处理方法; 2）使用计算机模拟了解蛋白质溶剂化的性质。 该项目的重点是开发新的软粘性偶极-四极-八极（SSDQO）水势能模型，用于生物系统的计算机模拟。 SSDQO模型是对旧的软粘性偶极子（SSD）单点模型的修改，这是对生物模拟中常用的三点模型的改进，因为它具有更好的结构，介电和动力学特性，但在分子动力学（MD）中快四倍，在蒙特卡罗（MC）模拟中快七倍。 新的SSDQO模型是由Lennard-Jones球和点偶极、四极和八极组成的单点模型，新的粘性相互作用势是一个近似的矩展开。 第一个目标是优化SSDQO模型的矩参数，以再现液态水的性质。 将使用MD和/或MC模拟计算热力学、动力学和结构性质，并与实验数据进行比较。 一旦非极化模型被优化，极化将被添加与CHARMM力场一致。 第二个目标是阐明蛋白质-水相互作用的物理基础。 首先，简单的肽在SSDQO水的溶剂化将通过MD和/或MC模拟研究，并与实验数据进行比较。 接下来，将使用MD模拟研究使用SSDQO水的溶液和结晶环境中的红氧还蛋白，并与使用TIP 3 P水和高分辨率晶体结构的模拟进行比较。 第三个目标是确定液态水的异常性质的物理起源，这对于验证模型在各种条件下的使用也很重要，例如在拥挤的活细胞中。 的密度和扩散常数的SSDQO水的温度依赖性将研究在MD模拟中使用的能量分解成矩项中的SSDQO潜力。第四个目标是将SSDQO模型扩展到蛋白质等复杂分子，这代表了这项研究的未来方向。 将近似矩展开扩展到其他分子和化学部分（如分子内的肽）的可行性将通过MC模拟进行检查。该项目将提高计算机模拟涉及液态水的各种生物、化学和物理系统的速度和准确性。 该模型将与CHARMM力场兼容，并将在CHARMM计算机程序中实现，该程序广泛用于生物分子的分子力学/动力学研究。 因此，该模型将很容易为其他研究人员所用。 这项研究也将培养学生在计算科学。首席研究员的小组是种族和种族多元化，目前有两名女研究生。 外联工作将侧重于妇女，她们在数学和计算科学领域的代表性历来不足。