Case Studies of Orphan Domain Reclassification in ECOD by Expert Curation.

IF 3.2 4区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Jimin Pei, R Dustin Schaeffer, Qian Cong, Nick V Grishin
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引用次数: 0

Abstract

Homology-based protein domain classification is a powerful tool for gaining biological insights into protein function. This classification process has been significantly enhanced by the availability of experimental structures and high-accuracy structural models generated by advanced tools such as AlphaFold. Our Evolutionary Classification of protein Domains (ECOD) database provides a continuously updated and refined domain classification system. Isolated ("orphan") protein domain families, which have a limited distribution in the protein universe, present a unique challenge in this classification process. These families lack clear or identifiable evolutionary relationships with other sequence families. While some isolated domain families may have emerged through de novo evolution, others potentially share common evolutionary origins with existing domain families but represent difficult cases for traditional classification methods. In this study, we conducted a manual analysis of a set of isolated families of small domains in ECOD. By exploring sequence, structural, and functional evidence, we uncovered distant members and likely homologous relationships between different isolated domain families that were previously unrecognized. Our analysis provides valuable insights into the evolution of isolated domain families and has led to improved classification within ECOD. This work enhances our understanding of protein evolution and underscores the importance of continuous refinement in domain classification systems as new data and analytical methods become available.

基于专家策展的ECOD孤儿域重分类案例研究
基于同源性的蛋白质结构域分类是获得蛋白质功能生物学见解的有力工具。实验结构的可用性和由AlphaFold等先进工具生成的高精度结构模型大大增强了这一分类过程。我们的蛋白质结构域进化分类(ECOD)数据库提供了一个不断更新和完善的结构域分类系统。孤立的(“孤儿”)蛋白结构域家族在蛋白质宇宙中的分布有限,在分类过程中提出了独特的挑战。这些家族与其他序列家族缺乏明确或可识别的进化关系。虽然一些孤立的领域族可能通过从头进化出现,但其他可能与现有领域族共享共同的进化起源,但代表传统分类方法的困难案例。在这项研究中,我们对ECOD中一组孤立的小域家族进行了人工分析。通过探索序列、结构和功能证据,我们发现了以前未被认识到的不同孤立结构域家族之间的遥远成员和可能的同源关系。我们的分析为孤立域家族的演变提供了有价值的见解,并导致了ECOD内分类的改进。这项工作增强了我们对蛋白质进化的理解,并强调了随着新数据和分析方法的出现,在领域分类系统中不断改进的重要性。
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来源期刊
Proteins-Structure Function and Bioinformatics
Proteins-Structure Function and Bioinformatics 生物-生化与分子生物学
CiteScore
5.90
自引率
3.40%
发文量
172
审稿时长
3 months
期刊介绍: PROTEINS : Structure, Function, and Bioinformatics publishes original reports of significant experimental and analytic research in all areas of protein research: structure, function, computation, genetics, and design. The journal encourages reports that present new experimental or computational approaches for interpreting and understanding data from biophysical chemistry, structural studies of proteins and macromolecular assemblies, alterations of protein structure and function engineered through techniques of molecular biology and genetics, functional analyses under physiologic conditions, as well as the interactions of proteins with receptors, nucleic acids, or other specific ligands or substrates. Research in protein and peptide biochemistry directed toward synthesizing or characterizing molecules that simulate aspects of the activity of proteins, or that act as inhibitors of protein function, is also within the scope of PROTEINS. In addition to full-length reports, short communications (usually not more than 4 printed pages) and prediction reports are welcome. Reviews are typically by invitation; authors are encouraged to submit proposed topics for consideration.
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