通过氢交换和构象取样分析补体蛋白 C3d 的原生状态

Q4 Pharmacology, Toxicology and Pharmaceutics
Didier Devaurs, Malvina Papanastasiou, Dinler A Antunes, Jayvee R Abella, Mark Moll, Daniel Ricklin, John D Lambris, Lydia E Kavraki
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引用次数: 0

摘要

通过质谱检测到的氢/氘交换(HDXMS)为蛋白质结构和动力学提供了宝贵的信息。尽管 HDX-MS 数据通常使用晶体结构来解释,但有研究表明,分子动力学模拟产生的构象组合能产生更准确的解释。在本文中,我们通过进行 HDX-MS 实验分析了补体蛋白 C3d,并利用现有的预测模型评估了几种从蛋白质结构推导 HDX-MS 数据的解释方法。为了解释和完善 C3d 的 HDX-MS 数据,我们寻找 C3d 的构象(或构象组合),以便通过计算复制这些数据。我们证实晶体结构并不是一个很好的选择,并指出分子动力学模拟产生的构象组合也不总是令人满意。最后,我们展示了对 C3d 进行粗粒度构象取样所产生的构象,据此可以复制和完善 HDX-MS 数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Native State of Complement Protein C3d Analysed via Hydrogen Exchange and Conformational Sampling.

Native State of Complement Protein C3d Analysed via Hydrogen Exchange and Conformational Sampling.

Native State of Complement Protein C3d Analysed via Hydrogen Exchange and Conformational Sampling.

Native State of Complement Protein C3d Analysed via Hydrogen Exchange and Conformational Sampling.

Hydrogen/deuterium exchange detected by mass spectrometry (HDXMS) provides valuable information on protein structure and dynamics. Although HDX-MS data is often interpreted using crystal structures, it was suggested that conformational ensembles produced by molecular dynamics simulations yield more accurate interpretations. In this paper, we analyse the complement protein C3d by performing an HDX-MS experiment, and evaluate several interpretation methodologies using an existing prediction model to derive HDX-MS data from protein structure. To interpret and refine C3d's HDX-MS data, we look for a conformation (or conformational ensemble) of C3d that allows computationally replicating this data. We confirm that crystal structures are not a good choice and suggest that conformational ensembles produced by molecular dynamics simulations might not always be satisfactory either. Finally, we show that coarse-grained conformational sampling of C3d produces a conformation from which its HDX-MS data can be replicated and refined.

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来源期刊
International Journal of Computational Biology and Drug Design
International Journal of Computational Biology and Drug Design Pharmacology, Toxicology and Pharmaceutics-Drug Discovery
CiteScore
1.00
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发文量
8
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