Theoretical Studies of Membrane Proteins

膜蛋白的理论研究

• 批准号: 9808902
• 负责人: Barry Honig
• 金额: $ 67.5万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-07-01 至 2004-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9808902&HistoricalAwards=false
• 关键词: Theoretical; Studies; Membrane; Proteins

9808902 Honig This project represents the continuation of a research program whose overall objective is to further understanding of the physical principles that determine the structure and function of membrane proteins. Theoretical calculations based primarily on numerical solutions to the Poisson-Boltzmann equation will be used to study important biological processes such as the association of proteins with membrane surfaces, lateral domain formation in lipid bilayers and protein-protein interactions in src family kinases. Electrostatic free energies obtained from the calculations will be used construct testable models which can explain that remarkable localization phenomena that lead to the formation of distinct phases in biological membranes and to the precise recognition of specific protein domains for one another. Subcellular localization is a central feature of many biological phenomena such as viral assembly and signal transduction. At present there is only limited understanding of the processes that underlie these phenomena and their physical-chemical basis is even more poorly understood. The proposed calculations and the related collaborations with experimental groups are intended to fill this existing gap in knowledge by providing detailed atom-level explanations of localization and specificity near membrane surfaces.

9808902 HONIG该项目代表了一个研究计划的延续，该计划的总体目标是进一步了解确定膜蛋白结构和功能的物理原理。 理论计算主要基于Poisson-Boltzmann方程的数值溶液将用于研究重要的生物学过程，例如蛋白质与膜表面的缔合，脂质双层中的侧向结构域形成和SRC家族激酶中蛋白质蛋白相互作用的侧向结构域形成。 从计算中获得的静电能量将用于构造可测试的模型，可以解释这种显着的定位现象，从而导致生物膜中不同阶段形成不同的阶段，并确切地识别了对彼此的特定蛋白质结构域的确切识别。 亚细胞定位是许多生物学现象的核心特征，例如病毒组装和信号转导。目前，对这些现象及其物理化学基础的过程的理解只有有限的理解。拟议的计算以及与实验组的相关合作旨在通过提供详细的原子级别的本地化解释和膜表面附近的特定性来填补这一现有的知识差距。