Breaking Down the Bottlebrush: Atomically Detailed Structural Dynamics of Mucins

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL
Fiona L. Kearns, Mia A. Rosenfeld, Rommie E. Amaro
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引用次数: 0

Abstract

Mucins, the biomolecular components of mucus, are glycoproteins that form a thick physical barrier at all tissue–air interfaces, forming a first line of defense against pathogens. Structural features of mucins and their interactions with other biomolecules remain largely unexplored due to the challenges associated with their high-resolution characterization. Combining limited mass spectrometry glycomics and protein sequencing data, we present all-atom, explicitly solvated molecular dynamics simulations of a major respiratory mucin, MUC5B. We detail key forces and degrees of freedom imposed by the extensive O-glycosylation, which imbue the canonically observed bottlebrush-like structures to these otherwise intrinsically disordered protein backbones. We compare our simulation results to static structures observed in recent scanning tunneling microscopy experiments as well as other published experimental efforts. Our work represents the demonstration of a workflow applied to a mucin example, which we hope will be employed by other groups to investigate the dynamics and interactions of other mucins, which can inform on structural details currently inaccessible to experimental techniques.

Abstract Image

打破瓶颈:粘蛋白的原子细节结构动力学
粘蛋白是粘液的生物分子成分,它是一种糖蛋白,在所有组织-空气界面形成一道厚厚的物理屏障,是抵御病原体的第一道防线。粘蛋白的结构特征及其与其他生物大分子的相互作用在很大程度上仍未得到探索,这是因为高分辨率表征粘蛋白所面临的挑战。结合有限的质谱糖学和蛋白质测序数据,我们对一种主要的呼吸道粘蛋白 MUC5B 进行了全原子、明确求解的分子动力学模拟。我们详细介绍了广泛的 O 型糖基化所施加的主要作用力和自由度,这些作用力和自由度使这些原本内在无序的蛋白质骨架具有了典型的瓶草状结构。我们将模拟结果与近期扫描隧道显微镜实验中观察到的静态结构以及其他已发表的实验结果进行了比较。我们的工作展示了一种应用于粘蛋白实例的工作流程,我们希望其他研究小组也能采用这种流程来研究其他粘蛋白的动力学和相互作用,从而了解目前实验技术无法获得的结构细节。
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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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