Suppr超能文献

磷脂双分子层膜中血管加压素V2受体的分子动力学

Molecular dynamics of a vasopressin V2 receptor in a phospholipid bilayer membrane.

作者信息

Czaplewski C, Pasenkiewicz-Gierula M, Ciarkowski J

机构信息

Faculty of Chemistry, University of Gdansk, Poland.

出版信息

J Recept Signal Transduct Res. 1999 Jan-Jul;19(1-4):355-67. doi: 10.3109/10799899909036657.

Abstract

Molecular dynamics simulations were carried out for a V2 receptor (V2R) model embedded in a dimyristoylphosphatidylcholine (DMPC) bilayer. Both free and ligand-bound states of V2R were modeled. Our initial V2R model was obtained using a rule-based automated method for GPCR modeling and refined using constrained simulated annealing in vacuo. The docking site of the native vasopressin ligand was selected and justified upon consideration of ligand-receptor interactions and structure-activity data. The primary purpose of this work was to investigate the usefulness of MD simulation of an integral membrane protein like a GPCR receptor, upon inclusion of a carefully parameterized surrounding lipid membrane and water. Physical properties of the system were evaluated and compared with the fully hydrated pure DMPC bilayer membrane. The solvation interactions, individual lipid-protein interaction and fluctuations of the protein, the lipid, and water were analyzed in detail. As expected, the membrane-spanning helices of the protein fluctuate less than the peripheral loops do. The protein appears to disturb the local lipid structure. Simulations were carried out using AMBER 4.1 package upon constant number-pressure-temperature (NPT) conditions on massively parallel computers Cray T3E and IBM SP2.

摘要

对嵌入二肉豆蔻酰磷脂酰胆碱(DMPC)双层膜中的V2受体(V2R)模型进行了分子动力学模拟。对V2R的游离态和配体结合态都进行了建模。我们最初的V2R模型是使用基于规则的GPCR自动建模方法获得的,并在真空中使用约束模拟退火进行了优化。在考虑配体-受体相互作用和构效关系数据后,选择并确定了天然加压素配体的对接位点。这项工作的主要目的是研究在包含精心参数化的周围脂质膜和水的情况下,对像GPCR受体这样的整合膜蛋白进行MD模拟的有用性。评估了系统的物理性质,并与完全水合的纯DMPC双层膜进行了比较。详细分析了溶剂化相互作用、单个脂质-蛋白质相互作用以及蛋白质、脂质和水的波动情况。正如预期的那样,蛋白质的跨膜螺旋的波动比外周环的波动小。蛋白质似乎扰乱了局部脂质结构。在大规模并行计算机Cray T3E和IBM SP2上,在恒定数量-压力-温度(NPT)条件下,使用AMBER 4.1软件包进行了模拟。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验