InterPro:2025 年的蛋白质序列分类资源

IF 16.6 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Matthias Blum, Antonina Andreeva, Laise Cavalcanti Florentino, Sara Rocio Chuguransky, Tiago Grego, Emma Hobbs, Beatriz Lazaro Pinto, Ailsa Orr, Typhaine Paysan-Lafosse, Irina Ponamareva, Gustavo A Salazar, Nicola Bordin, Peer Bork, Alan Bridge, Lucy Colwell, Julian Gough, Daniel H Haft, Ivica Letunic, Felipe Llinares-López, Aron Marchler-Bauer, Laetitia Meng-Papaxanthos, Huaiyu Mi, Darren A Natale, Christine A Orengo, Arun P Pandurangan, Damiano Piovesan, Catherine Rivoire, Christian J A Sigrist, Narmada Thanki, Françoise Thibaud-Nissen, Paul D Thomas, Silvio C E Tosatto, Cathy H Wu, Alex Bateman
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引用次数: 0

摘要

InterPro (https://www.ebi.ac.uk/interpro) 是一种可免费访问的资源,用于将蛋白质序列分类为科。它整合了来自多个成员数据库的预测模型(称为特征),将序列分类为科,并预测存在的结构域和重要位点。InterPro 数据库为 2 亿多个序列提供注释,确保广泛覆盖蛋白质序列的标准资源库 UniProtKB,并包括与其他几个主要资源的映射,如基因本体(GO)、欧洲蛋白质数据库(PDBe)和 AlphaFold 蛋白结构数据库。在本出版物中,我们报告了 InterPro(101.0 版)的现状,详细介绍了数据库、相关网络接口和软件的新发展。值得注意的更新包括进一步整合 AlphaFold 预测的结构,以及利用人工智能加强对蛋白质家族的描述。在过去两年中,InterPro 新建了 5000 多个条目。InterPro 网站现在可以访问其成员数据库中的 85000 个蛋白质家族和域,并可作为退役数据库的长期档案库。InterPro 数据、软件和工具均免费提供。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
InterPro: the protein sequence classification resource in 2025
InterPro (https://www.ebi.ac.uk/interpro) is a freely accessible resource for the classification of protein sequences into families. It integrates predictive models, known as signatures, from multiple member databases to classify sequences into families and predict the presence of domains and significant sites. The InterPro database provides annotations for over 200 million sequences, ensuring extensive coverage of UniProtKB, the standard repository of protein sequences, and includes mappings to several other major resources, such as Gene Ontology (GO), Protein Data Bank in Europe (PDBe) and the AlphaFold Protein Structure Database. In this publication, we report on the status of InterPro (version 101.0), detailing new developments in the database, associated web interface and software. Notable updates include the increased integration of structures predicted by AlphaFold and the enhanced description of protein families using artificial intelligence. Over the past two years, more than 5000 new InterPro entries have been created. The InterPro website now offers access to 85 000 protein families and domains from its member databases and serves as a long-term archive for retired databases. InterPro data, software and tools are freely available.
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来源期刊
Nucleic Acids Research
Nucleic Acids Research 生物-生化与分子生物学
CiteScore
27.10
自引率
4.70%
发文量
1057
审稿时长
2 months
期刊介绍: Nucleic Acids Research (NAR) is a scientific journal that publishes research on various aspects of nucleic acids and proteins involved in nucleic acid metabolism and interactions. It covers areas such as chemistry and synthetic biology, computational biology, gene regulation, chromatin and epigenetics, genome integrity, repair and replication, genomics, molecular biology, nucleic acid enzymes, RNA, and structural biology. The journal also includes a Survey and Summary section for brief reviews. Additionally, each year, the first issue is dedicated to biological databases, and an issue in July focuses on web-based software resources for the biological community. Nucleic Acids Research is indexed by several services including Abstracts on Hygiene and Communicable Diseases, Animal Breeding Abstracts, Agricultural Engineering Abstracts, Agbiotech News and Information, BIOSIS Previews, CAB Abstracts, and EMBASE.
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