Split Membrane: A New Model to Accelerate All-Atom MD Simulation of Phospholipid Bilayers.

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL
Mehrnoosh Khodam Hazrati, Lukáš Sukeník, Robert Vácha
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引用次数: 0

Abstract

All-atom molecular dynamics simulations are powerful tools for studying cell membranes and their interactions with proteins and other molecules. However, these processes occur on time scales determined by the diffusion rate of phospholipids, which are challenging to achieve in all-atom models. Here, we present a new all-atom model that accelerates lipid diffusion by splitting phospholipid molecules into head and tail groups. The bilayer structure is maintained by using external lateral potentials, which compensate for the lipid split. This split model enhances lateral lipid diffusion more than ten times, allowing faster and cheaper equilibration of large systems with different phospholipid types. The current model has been tested on membranes containing PSM, POPC, POPS, POPE, POPA, and cholesterol. We have also evaluated the interaction of the split model membranes with the Disheveled DEP domain and amphiphilic helix motif of the transcriptional repressor Opi1 as representative of peripheral proteins as well as the dimeric fragment of the epidermal growth factor receptor transmembrane domain and the Human A2A Adenosine of G protein-coupled receptors as representative of transmembrane proteins. The split model can predict the interaction sites of proteins and their preferred phospholipid type. Thus, the model could be used to identify lipid binding sites and equilibrate large membranes at an affordable computational cost.

分裂膜:加速磷脂双层全原子MD模拟的新模型。
全原子分子动力学模拟是研究细胞膜及其与蛋白质和其他分子相互作用的有力工具。然而,这些过程发生在由磷脂扩散速率决定的时间尺度上,这在全原子模型中是具有挑战性的。在这里,我们提出了一个新的全原子模型,通过将磷脂分子分裂成头和尾基团来加速脂质扩散。双分子层结构是通过使用外部侧电位来维持的,这补偿了脂质分裂。这种分裂模型增强横向脂质扩散超过十倍,允许更快和更便宜的平衡与不同磷脂类型的大系统。目前的模型已经在含有PSM, POPC, POPS, POPE, POPA和胆固醇的膜上进行了测试。我们还评估了分裂模型膜与代表外周蛋白的转录抑制因子Opi1的Disheveled DEP结构域和两亲性螺旋基序的相互作用,以及表皮生长因子受体跨膜结构域的二聚体片段和代表跨膜蛋白的G蛋白偶联受体的人A2A腺苷。该分裂模型可以预测蛋白质的相互作用位点及其偏好的磷脂类型。因此,该模型可用于识别脂质结合位点并以可承受的计算成本平衡大膜。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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