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蛋白质-核酸复合物:对接与结合亲和力。

Protein-nucleic acid complexes: Docking and binding affinity.

作者信息

Gromiha M Michael, Harini K

机构信息

Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai 600036, Tamil Nadu, India.

Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai 600036, Tamil Nadu, India.

出版信息

Curr Opin Struct Biol. 2025 Feb;90:102955. doi: 10.1016/j.sbi.2024.102955. Epub 2024 Nov 30.

Abstract

Protein-nucleic interactions play essential roles in several biological processes, such as gene regulation, replication, transcription, repair and packaging. The knowledge of three-dimensional structures of protein-nucleic acid complexes and their binding affinities helps to understand these functions. In this review, we focus on two major aspects namely, (i) deciphering the three-dimensional structures of protein-nucleic acid complexes and (ii) predicting their binding affinities. The first part is devoted to the state-of-the-art methods for predicting the native structures and their performances including recent CASP targets. The second part is focused on different aspects of investigating the binding affinity of protein-nucleic acid complexes: (i) databases for thermodynamic parameters to understand the binding affinity, (ii) important features determining protein-nucleic acid binding affinity, (iii) predicting the binding affinity of protein-nucleic acid complexes using sequence and structure-based parameters and (iv) change in binding affinity upon mutation. It includes the latest developments in protein-nucleic acid docking algorithms and binding affinity predictions along with a list of computational resources for understanding protein-DNA and protein-RNA interactions.

摘要

蛋白质与核酸的相互作用在多个生物学过程中发挥着重要作用,如基因调控、复制、转录、修复和包装。了解蛋白质 - 核酸复合物的三维结构及其结合亲和力有助于理解这些功能。在本综述中,我们关注两个主要方面,即:(i)解析蛋白质 - 核酸复合物的三维结构,以及(ii)预测它们的结合亲和力。第一部分致力于介绍预测天然结构的最新方法及其性能,包括最近的蛋白质结构预测关键评估(CASP)目标。第二部分聚焦于研究蛋白质 - 核酸复合物结合亲和力的不同方面:(i)用于理解结合亲和力的热力学参数数据库,(ii)决定蛋白质 - 核酸结合亲和力的重要特征,(iii)使用基于序列和结构的参数预测蛋白质 - 核酸复合物的结合亲和力,以及(iv)突变后结合亲和力的变化。它包括蛋白质 - 核酸对接算法和结合亲和力预测的最新进展,以及用于理解蛋白质 - DNA和蛋白质 - RNA相互作用的计算资源列表。

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