ExploreTurns: A web tool for the exploration, analysis, and classification of beta turns and structured loops in proteins; application to beta-bulge and Schellman loops, Asx helix caps, beta hairpins, and other hydrogen-bonded motifs.

IF 4.5 3区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Protein Science Pub Date : 2025-03-01 DOI:10.1002/pro.70046
Nicholas E Newell
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引用次数: 0

Abstract

The most common type of protein secondary structure after the alpha helix and beta sheet is the four-residue beta turn, which plays many key structural and functional roles. Existing tools for the study of beta turns operate in backbone dihedral-angle (Ramachandran) space, which presents challenges for the visualization, comparison and analysis of the wide range of turn conformations. In this work, a new turn-local coordinate system and structural alignment, together with a set of geometric descriptors for turn backbone shape, are incorporated into ExploreTurns, a web facility for the exploration, analysis, geometric tuning and retrieval of beta turns and their contexts which combines the advantages of Ramachandran- and Euclidean-space representations. Due to the prevalence of beta turns in proteins, this facility, supported by its interpreter for a new general nomenclature which classifies H-bonded loop motifs and beta hairpins, serves as an exploratory browser and analysis tool for most loop structure. The tool is applied to the detection of new H-bonded loops, including short and "double" Schellman loops, a large family of beta-bulge loops with a range of geometries and H-bond topologies, and other motifs. Other applications presented here include the mapping of sequence preferences in Asx helix N-caps and an investigation of the depth dependence of beta-turn geometry. ExploreTurns, available at www.betaturn.com, should prove useful in research, education, and applications such as protein design, in which an enhanced Euclidean-space picture of turn and motif structure and the ability to identify and tune structures suited to particular requirements may improve performance.

explorerturns:用于探索、分析和分类蛋白质中的β转和结构环的网络工具;应用于β凸起和谢尔曼环,Asx螺旋帽,β发夹,和其他氢键图案。
在α螺旋和β片之后,最常见的蛋白质二级结构类型是四残基β转,它起着许多关键的结构和功能作用。现有的研究工具是在主干二面角(Ramachandran)空间中运行的,这给大范围的转弯构象的可视化、比较和分析带来了挑战。在这项工作中,一个新的转弯局部坐标系和结构对准,以及一组转弯主干形状的几何描述符,被纳入explorerturns,一个用于探索、分析、几何调整和检索beta转弯及其上下文的网络设施,它结合了拉马钱德兰和欧几里得空间表示的优势。由于蛋白质中β转的普遍存在,该工具由其解释器支持,用于分类h键环基序和β发夹的新通用命名法,可作为大多数环结构的探索性浏览器和分析工具。该工具用于检测新的h键环,包括短和“双”谢尔曼环,具有一系列几何形状和h键拓扑结构的β -凸起环,以及其他图案。这里介绍的其他应用包括Asx螺旋n -帽序列偏好的映射和对β -匝几何的深度依赖的研究。explorerturns可以在www.betaturn.com上找到,在研究、教育和诸如蛋白质设计等应用中应该证明是有用的,在蛋白质设计中,增强的旋转和基序结构的欧几里得空间图像以及识别和调整适合特定要求的结构的能力可能会提高性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Protein Science
Protein Science 生物-生化与分子生物学
CiteScore
12.40
自引率
1.20%
发文量
246
审稿时长
1 months
期刊介绍: Protein Science, the flagship journal of The Protein Society, is a publication that focuses on advancing fundamental knowledge in the field of protein molecules. The journal welcomes original reports and review articles that contribute to our understanding of protein function, structure, folding, design, and evolution. Additionally, Protein Science encourages papers that explore the applications of protein science in various areas such as therapeutics, protein-based biomaterials, bionanotechnology, synthetic biology, and bioelectronics. The journal accepts manuscript submissions in any suitable format for review, with the requirement of converting the manuscript to journal-style format only upon acceptance for publication. Protein Science is indexed and abstracted in numerous databases, including the Agricultural & Environmental Science Database (ProQuest), Biological Science Database (ProQuest), CAS: Chemical Abstracts Service (ACS), Embase (Elsevier), Health & Medical Collection (ProQuest), Health Research Premium Collection (ProQuest), Materials Science & Engineering Database (ProQuest), MEDLINE/PubMed (NLM), Natural Science Collection (ProQuest), and SciTech Premium Collection (ProQuest).
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