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蛋白质结构的层次分析:从二级结构到蛋白质单元和结构域。

Hierarchical Analysis of Protein Structures: From Secondary Structures to Protein Units and Domains.

机构信息

TBI, Université de Toulouse, CNRS, INRAE, INSA, Toulouse, France.

Université Paris Cité, INSERM, BIGR, Paris, France.

出版信息

Methods Mol Biol. 2025;2870:357-370. doi: 10.1007/978-1-0716-4213-9_18.

DOI:10.1007/978-1-0716-4213-9_18
PMID:39543044
Abstract

The three-dimensional structure of proteins is traditionally organized into hierarchical levels, specifically secondary structures and domains. However, different studies suggest the existence of intermediate levels, such as Protein Units (PUs), which provide a refined understanding of protein architecture. PUs, characterized by their compactness and independence, serve as an intermediate organizational level, bridging the gap between secondary structures and domains. This new view not only enhances our comprehension of protein structure, folding, and evolutionary mechanisms but also provides a robust methodology for identifying and categorizing protein domains. Based on the concept of PUs, alternative structural partitioning solutions can be proposed that address the structural ambiguity of proteins, leading to more meaningful domain identification.

摘要

蛋白质的三维结构传统上分为层次结构,具体为二级结构和结构域。然而,不同的研究表明存在中间层次,例如蛋白质单元(PU),这为理解蛋白质结构提供了更精细的认识。PU 具有紧凑性和独立性的特点,作为中间组织层次存在,连接二级结构和结构域之间的差距。这种新的观点不仅增强了我们对蛋白质结构、折叠和进化机制的理解,还为识别和分类蛋白质结构域提供了强大的方法。基于 PU 的概念,可以提出替代的结构分区解决方案,解决蛋白质的结构歧义问题,从而更有意义地识别结构域。

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本文引用的文献

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SWORD2: hierarchical analysis of protein 3D structures.SWORD2:蛋白质 3D 结构的层次分析。
Nucleic Acids Res. 2022 Jul 5;50(W1):W732-W738. doi: 10.1093/nar/gkac370.
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Protein domain identification methods and online resources.蛋白质结构域鉴定方法及在线资源。
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The SCOP database in 2020: expanded classification of representative family and superfamily domains of known protein structures.2020 年的 SCOP 数据库:已知蛋白质结构的代表性家族和超家族域的扩展分类。
Nucleic Acids Res. 2020 Jan 8;48(D1):D376-D382. doi: 10.1093/nar/gkz1064.
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DNN-Dom: predicting protein domain boundary from sequence alone by deep neural network.DNN-Dom:通过深度神经网络仅从序列预测蛋白质结构域边界。
Bioinformatics. 2019 Dec 15;35(24):5128-5136. doi: 10.1093/bioinformatics/btz464.
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How Many Protein Sequences Fold to a Given Structure? A Coevolutionary Analysis.有多少蛋白质序列能折叠成给定结构?共进化分析。
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An ambiguity principle for assigning protein structural domains.一种用于分配蛋白质结构域的不明确性原理。
Sci Adv. 2017 Jan 13;3(1):e1600552. doi: 10.1126/sciadv.1600552. eCollection 2017 Jan.
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