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利用图形处理器进行章鱼胺受体的加速分子动力学模拟:发现一个替代性激动剂结合位点。

Accelerated molecular dynamics simulations of the octopamine receptor using GPUs: discovery of an alternate agonist-binding position.

作者信息

Kastner Kevin W, Izaguirre Jesús A

机构信息

Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, Indiana.

出版信息

Proteins. 2016 Oct;84(10):1480-9. doi: 10.1002/prot.25091. Epub 2016 Jul 5.

Abstract

Octopamine receptors (OARs) perform key biological functions in invertebrates, making this class of G-protein coupled receptors (GPCRs) worth considering for insecticide development. However, no crystal structures and very little research exists for OARs. Furthermore, GPCRs are large proteins, are suspended in a lipid bilayer, and are activated on the millisecond timescale, all of which make conventional molecular dynamics (MD) simulations infeasible, even if run on large supercomputers. However, accelerated Molecular Dynamics (aMD) simulations can reduce this timescale to even hundreds of nanoseconds, while running the simulations on graphics processing units (GPUs) would enable even small clusters of GPUs to have processing power equivalent to hundreds of CPUs. Our results show that aMD simulations run on GPUs can successfully obtain the active and inactive state conformations of a GPCR on this reduced timescale. Furthermore, we discovered a potential alternate active-state agonist-binding position in the octopamine receptor which has yet to be observed and may be a novel GPCR agonist-binding position. These results demonstrate that a complex biological system with an activation process on the millisecond timescale can be successfully simulated on the nanosecond timescale using a simple computing system consisting of a small number of GPUs. Proteins 2016; 84:1480-1489. © 2016 Wiley Periodicals, Inc.

摘要

章鱼胺受体(OARs)在无脊椎动物中执行关键的生物学功能,使得这类G蛋白偶联受体(GPCRs)值得在杀虫剂开发中加以考虑。然而,目前尚无章鱼胺受体的晶体结构,相关研究也非常少。此外,GPCRs是大分子蛋白质,悬浮于脂质双分子层中,且在毫秒时间尺度上被激活,所有这些因素使得传统分子动力学(MD)模拟即便在大型超级计算机上运行也不可行。然而,加速分子动力学(aMD)模拟可以将这个时间尺度缩短至甚至数百纳秒,而在图形处理单元(GPU)上运行模拟则能使即使是小型的GPU集群也具备相当于数百个CPU的处理能力。我们的结果表明,在GPU上运行的aMD模拟能够在这个缩短的时间尺度上成功获得GPCR的活性和非活性状态构象。此外,我们在章鱼胺受体中发现了一个潜在的替代性活性状态激动剂结合位点,该位点尚未被观察到,可能是一个新的GPCR激动剂结合位点。这些结果表明,一个具有毫秒时间尺度激活过程的复杂生物系统可以使用由少量GPU组成的简单计算系统在纳秒时间尺度上成功模拟。《蛋白质》2016年;84:1480 - 1489。© 2016威利期刊公司。

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