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Simplified Computational Methods for the Analysis of Protein Flexibility

机译:蛋白质柔韧性分析的简化计算方法

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Conformational flexibility is an inherent property of the protein structure. Large scale changes in the protein conformation play a key role in a variety of fundamental biological activities and have been implicated in a number of diseases. The time scales of functionally relevant dynamic processes in proteins generally do not allow the researchers to study them by the means of detailed atomic level simulations. Therefore, less computationally demanding methods based on the coarse grained models of protein structure and bioinformatics approaches are particularly important for the flexibility-related studies. This review is focused on two broad categories of protein flexibility - protein disorder and conformational switches. In the case of protein disorder, a flexible protein segment or entire protein is structurally disordered, meaning that it does not have a well-defined folded 3D structure. In the case of conformational switches, the protein backbone of a flexible segment can change or "switch" from one specific folded 3D conformation to another. In this review, the relative strengths and limitations of the existing computational tools, mostly from the bioinformatics domain, used to study and predict protein disorder and conformational switches will be discussed and the main challenges will be highlighted.
机译:构象柔韧性是蛋白质结构的固有性质。蛋白质构象的大规模变化在多种基本生物学活性中起着关键作用,并已涉及多种疾病。蛋白质中功能相关的动态过程的时标通常不允许研究人员通过详细的原子级模拟来研究它们。因此,基于蛋白质结构的粗粒度模型和生物信息学方法的较少计算要求的方法对于与灵活性相关的研究尤为重要。这篇综述着重于蛋白质柔韧性的两大类-蛋白质失调和构象转换。在蛋白质异常的情况下,柔性蛋白质片段或整个蛋白质在结构上是无序的,这意味着它没有明确定义的折叠3D结构。在构象转换的情况下,柔性片段的蛋白质骨架可以从​​一个特定的折叠3D构象改变或“转换”到另一个特定的折叠3D构象。在这篇综述中,将讨论现有计算工具(主要来自生物信息学领域)用于研究和预测蛋白质异常和构象转换的相对优势和局限性,并重点指出主要挑战。

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