Systematic Approach to Parametrization of Disaccharides for the Martini 3 Coarse-Grained Force Field.

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL
Astrid F Brandner, Iain P S Smith, Siewert J Marrink, Paulo C T Souza, Syma Khalid
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引用次数: 0

Abstract

Sugars are ubiquitous in biology; they occur in all kingdoms of life. Despite their prevalence, they have often been somewhat neglected in studies of structure-dynamics-function relationships of macromolecules to which they are attached, with the exception of nucleic acids. This is largely due to the inherent difficulties of not only studying the conformational dynamics of sugars using experimental methods but indeed also resolving their static structures. Molecular dynamics (MD) simulations offer a route to the prediction of conformational ensembles and the time-dependent behavior of sugars and glycosylated macromolecules. However, at the all-atom level of detail, MD simulations are often too computationally demanding to allow a systematic investigation of molecular interactions in systems of interest. To overcome this, large scale simulations of complex biological systems have profited from advances in coarse-grained (CG) simulations. Perhaps the most widely used CG force field for biomolecular simulations is Martini. Here, we present a parameter set for glucose- and mannose-based disaccharides for Martini 3. The generation of the CG parameters from atomistic trajectories is automated as fully as possible, and where not possible, we provide details of the protocol used for manual intervention.

马提尼3粗粒度力场中双糖参数化的系统方法。
糖在生物学中无处不在;它们存在于生命的所有领域。尽管它们很普遍,但在研究它们所附着的大分子的结构-动力学-功能关系时,它们常常被忽视,核酸除外。这在很大程度上是由于不仅用实验方法研究糖的构象动力学,而且还要解决它们的静态结构的固有困难。分子动力学(MD)模拟为预测糖和糖基化大分子的构象集合和时间依赖行为提供了一条途径。然而,在全原子水平的细节上,MD模拟通常对计算要求太高,无法对感兴趣的系统中的分子相互作用进行系统的研究。为了克服这一点,复杂生物系统的大规模模拟得益于粗粒度(CG)模拟的进步。也许在生物分子模拟中使用最广泛的CG力场是马提尼。在这里,我们提出了一个参数集为葡萄糖和甘露糖为基础的马提尼3双糖。从原子轨迹生成CG参数是尽可能完全自动化的,在不可能的情况下,我们提供了用于人工干预的协议细节。
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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