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一种用于蛋白质聚集机制计算研究的创新协同网格方法。

An innovative synergistic grid approach to the computational study of protein aggregation mechanisms.

作者信息

Faginas-Lago Noelia, Albertí Margarita, Costantini Alessandro, Laganà Antonio, Lombardi Andrea, Pacifici Leonardo

机构信息

Dipartimento di Chimica, Biologia e Biotecnologie, University of Perugia, Via Elce di Sotto, 8, 06123, Perugia, Italy,

出版信息

J Mol Model. 2014 Jul;20(7):2226. doi: 10.1007/s00894-014-2226-4. Epub 2014 Jun 17.

Abstract

Thanks to the advances in grid technologies, we are able to propose here an evolution of our molecular simulator that, when moving to larger systems, instead of reducing the granularity of the dynamical treatment (as is often done in molecular dynamics studies of such systems) exploits the extra power of the grid approach to the end of preserving the detailed nature of theatomistic formulation of the interaction. Key steps of such evolution are: (1) the assemblage of the interaction based on a composition of the ab initio intramolecular data and a portable parameterization of the intermolecular potential linking ab initio evaluation of intramolecular potentials and the partitioning of molecular polarizability; (2) the exploitation of an efficient coordinated porting and running of molecular dynamics codes on the European grid distributed computing infrastructure. As a prototype case study, the N-methylacetamide dimer in vacuo has been considered and the formation of possible conformers is analyzed.

摘要

得益于网格技术的进步,我们在此能够提出分子模拟器的一种改进方案。当处理更大的系统时,该方案并非像此类系统的分子动力学研究中通常所做的那样降低动力学处理的粒度,而是利用网格方法的额外能力来保留相互作用的原子论公式的详细性质。这种改进的关键步骤包括:(1)基于从头算分子内数据的组合以及连接分子内势的从头算评估和分子极化率分配的分子间势的便携式参数化来组装相互作用;(2)在欧洲网格分布式计算基础设施上高效协调地移植和运行分子动力学代码。作为一个原型案例研究,考虑了真空中的N - 甲基乙酰胺二聚体,并分析了可能构象的形成。

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