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Structural Mass Spectrometry of Proteins Using Hydroxyl Radical Based Protein Footprinting

机译:使用基于羟基自由基的蛋白质足迹法对蛋白质进行结构质谱分析

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Structural MS is a rapidly growing field with many applications in basic research and pharmaceutical drug development. In this feature article the overall technology is described and several examples of how hydroxyl radical based footprinting MS can be used to map interfaces, evaluate protein structure, and identify ligand dependent conformational changes in proteins are described. Driven by noncovalent interactions, polypeptide chains fold into a myriad of shapes that correspond to functional domains of biological significance. Therefore, assessment of protein structure is critical for understanding the functions of proteins at a molecular level. By comparing protein amino acid sequences and structures, scientists can classify proteins into family groups and deduce potential structure--function relationships by homology with proteins of known structure. Techniques such as X-ray crystallography and NMR spectroscopy can determine protein structures at atomic-level resolution. These experimentally determined structures of proteins, nucleic acids, and complex assemblies are collected into a database called the Protein Data Bank (PDB). Technical limitations of atomic resolution techniques have limited the direct determination of protein 3D structure when compared to the number of protein sequences available. Swiss-Prot, a protein sequence database, currently contains 500 000 unique sequences, whereas only 51 535 protein structures were registered in PDB as of 2009 and many of these PDB structures are highly redundant. Thus, experimental structures for the majority of known proteins do not exist. To fill this gap, computational modeling strategies based on homology and de novo prediction methods are necessary to provide structure--function predictions for systems in which the structure is poorly characterized.
机译:结构质谱是一个快速发展的领域,在基础研究和药物开发中有许多应用。在这篇专题文章中,将介绍整个技术,并介绍如何使用基于羟基自由基的印迹MS绘制界面,评估蛋白质结构并鉴定蛋白质中依赖配体的构象变化的几个示例。在非共价相互作用的驱动下,多肽链折叠成无数的形状,这些形状与具有生物学意义的功能域相对应。因此,评估蛋白质结构对于在分子水平上了解蛋白质的功能至关重要。通过比较蛋白质的氨基酸序列和结构,科学家可以将蛋白质分类为家族,并通过与已知结构的蛋白质同源性推论潜在的结构-功能关系。 X射线晶体学和NMR光谱学等技术可以原子级分辨率确定蛋白质结构。这些实验确定的蛋白质,核酸和复杂装配的结构被收集到称为蛋白质数据库(PDB)的数据库中。与可用的蛋白质序列数量相比,原子解析技术的技术局限性限制了蛋白质3D结构的直接确定。蛋白质序列数据库Swiss-Prot当前包含500 000个独特序列,而截至2009年,PDB中仅注册了51 535个蛋白质结构,其中许多PDB结构都是高度冗余的。因此,不存在大多数已知蛋白质的实验结构。为了填补这一空白,必须使用基于同源性和从头预测方法的计算建模策略来为结构特征较差的系统提供结构函数预测。

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