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β三明治样折叠:序列、接触、不变子结构分类和β三明治蛋白语法。

Beta Sandwich-Like Folds: Sequences, Contacts, Classification of Invariant Substructures and Beta Sandwich Protein Grammar.

机构信息

Department of Mathematics, Rutgers University, Piscataway, NJ, USA.

出版信息

Methods Mol Biol. 2025;2870:51-62. doi: 10.1007/978-1-0716-4213-9_4.

DOI:10.1007/978-1-0716-4213-9_4
PMID:39543030
Abstract

This chapter addresses the following fundamental question: Do sequences of protein domains with sandwich architecture have common sequence characteristics even though they belong to different superfamilies and folds? The analysis was carried out in two stages: (1) determination of domain substructures shared by all sandwich proteins and (2) detection of common sequence characteristics within the substructures. Analysis of supersecondary structures in domains of proteins revealed two types of four-strand substructures that are common to sandwich proteins. At least one of these common substructures was found in proteins of 42 sandwich-like folds (per structural classification in the CATH database). A comparison of sequence fragments and residue-residue contacts constituting common substructures revealed specific distributions of hydrophobic residues in these chains. The shared sequences and structural characteristics can be conceptualized as the "grammatical rules of beta protein linguistics." Understanding the structural and sequence commonalities of sandwich proteins may prove useful for rational protein design.

摘要

这一章探讨了以下基本问题

具有三明治结构的蛋白质结构域序列即使属于不同的超家族和折叠,是否具有共同的序列特征?分析分两个阶段进行:(1)确定所有三明治蛋白共有的结构域亚结构;(2)检测亚结构内的共同序列特征。对蛋白质结构域中超二级结构的分析揭示了两种常见于三明治蛋白的四链亚结构。在 CATH 数据库的结构分类中,至少有 42 个类似三明治的折叠蛋白中发现了这两种常见的亚结构之一。比较构成常见亚结构的序列片段和残基-残基接触,揭示了这些链中疏水残基的特定分布。共享的序列和结构特征可以被概念化为“β 蛋白语言学的语法规则”。理解三明治蛋白的结构和序列共性可能对合理的蛋白质设计有用。

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Methods Mol Biol. 2025;2870:51-62. doi: 10.1007/978-1-0716-4213-9_4.
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本文引用的文献

1
Secondary and Supersecondary Structure of Proteins in Light of the Structure of Hydrophobic Cores.基于疏水核心结构的蛋白质二级和超二级结构
Methods Mol Biol. 2019;1958:347-378. doi: 10.1007/978-1-4939-9161-7_19.
2
Estimating probabilistic context-free grammars for proteins using contact map constraints.利用接触图约束估计蛋白质的概率上下文无关文法。
PeerJ. 2019 Mar 18;7:e6559. doi: 10.7717/peerj.6559. eCollection 2019.
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Grammar of protein domain architectures.蛋白质结构域架构的语法。
Proc Natl Acad Sci U S A. 2019 Feb 26;116(9):3636-3645. doi: 10.1073/pnas.1814684116. Epub 2019 Feb 7.
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Protein multiple sequence alignment benchmarking through secondary structure prediction.通过二级结构预测进行蛋白质多序列比对基准测试。
Bioinformatics. 2017 May 1;33(9):1331-1337. doi: 10.1093/bioinformatics/btw840.
5
How the hydrophobic factor drives protein folding.疏水因子如何驱动蛋白质折叠。
Proc Natl Acad Sci U S A. 2016 Nov 1;113(44):12462-12466. doi: 10.1073/pnas.1610541113. Epub 2016 Oct 17.
6
50 years of amino acid hydrophobicity scales: revisiting the capacity for peptide classification.50年的氨基酸疏水性标度:重新审视肽分类能力
Biol Res. 2016 Jul 4;49(1):31. doi: 10.1186/s40659-016-0092-5.
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Multiple sequence alignment modeling: methods and applications.多序列比对建模:方法与应用
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8
Amino acid distribution rules predict protein fold: protein grammar for beta-strand sandwich-like structures.氨基酸分布规则预测蛋白质折叠:β-链三明治样结构的蛋白质语法
Biomolecules. 2015 Jan 23;5(1):41-59. doi: 10.3390/biom5010041.
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Forces stabilizing proteins.稳定蛋白质的力。
FEBS Lett. 2014 Jun 27;588(14):2177-84. doi: 10.1016/j.febslet.2014.05.006. Epub 2014 May 17.
10
An amino acid code for β-sheet packing structure.β折叠堆积结构的氨基酸编码。
Proteins. 2014 Sep;82(9):2128-40. doi: 10.1002/prot.24569. Epub 2014 Apr 16.