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计算方法在预测蛋白质-DNA 复合物的结合位点和理解识别机制中的应用。

Computational approaches for predicting the binding sites and understanding the recognition mechanism of protein-DNA complexes.

机构信息

Department of Biotechnology, Indian Institute of Technology Madras, Chennai, Tamil Nadu, India.

出版信息

Adv Protein Chem Struct Biol. 2013;91:65-99. doi: 10.1016/B978-0-12-411637-5.00003-2.

Abstract

Protein-DNA recognition plays an important role in the regulation of gene expression. Understanding the influence of specific residues for protein-DNA interactions and the recognition mechanism of protein-DNA complexes is a challenging task in molecular and computational biology. Several computational approaches have been put forward to tackle these problems from different perspectives: (i) development of databases for the interactions between protein and DNA and binding specificity of protein-DNA complexes, (ii) structural analysis of protein-DNA complexes, (iii) discriminating DNA-binding proteins from amino acid sequence, (iv) prediction of DNA-binding sites and protein-DNA binding specificity using sequence and/or structural information, and (v) understanding the recognition mechanism of protein-DNA complexes. In this review, we focus on all these issues and extensively discuss the advancements on the development of comprehensive bioinformatics databases for protein-DNA interactions, efficient tools for identifying the binding sites, and plausible mechanisms for understanding the recognition of protein-DNA complexes. Further, the available online resources for understanding protein-DNA interactions are collectively listed, which will serve as ready-to-use information for the research community.

摘要

蛋白质与 DNA 的识别在基因表达调控中起着重要作用。理解特定残基对蛋白质-DNA 相互作用的影响以及蛋白质-DNA 复合物的识别机制,是分子和计算生物学中的一个具有挑战性的任务。已经提出了几种计算方法,从不同的角度来解决这些问题:(i)开发蛋白质与 DNA 相互作用以及蛋白质-DNA 复合物结合特异性的数据库,(ii)蛋白质-DNA 复合物的结构分析,(iii)从氨基酸序列中区分 DNA 结合蛋白,(iv)使用序列和/或结构信息预测 DNA 结合位点和蛋白质-DNA 结合特异性,以及(v)理解蛋白质-DNA 复合物的识别机制。在这篇综述中,我们重点讨论了所有这些问题,并广泛讨论了用于开发蛋白质-DNA 相互作用综合生物信息学数据库、识别结合位点的有效工具以及理解蛋白质-DNA 复合物识别机制的合理机制方面的进展。此外,还集体列出了用于理解蛋白质-DNA 相互作用的现有在线资源,这些资源将为研究界提供现成的信息。

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