2020年的SCOP数据库:已知蛋白质结构的代表性家族和超家族结构域的扩展分类

IF 13.1 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Antonina Andreeva, Eugene Kulesha, Julian Gough, Alexey G Murzin
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引用次数: 0

摘要

蛋白质结构分类(SCOP)数据库是根据蛋白质结构域的进化和结构关系组织的蛋白质结构域的分类。我们报告了一个主要的努力,以增加结构数据的覆盖范围,旨在提供几乎所有领域超族的分类,在PDB中有代表。我们还改进了数据库模式,提供了一个新的API和现代化的web界面。这是自SCOP 1.75以来最重要的覆盖更新,并建立在SCOP 2原型的模式进步的基础上。该数据库可从http://scop.mrc-lmb.cam.ac.uk访问。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The SCOP database in 2020: expanded classification of representative family and superfamily domains of known protein structures.

The SCOP database in 2020: expanded classification of representative family and superfamily domains of known protein structures.

The SCOP database in 2020: expanded classification of representative family and superfamily domains of known protein structures.

The SCOP database in 2020: expanded classification of representative family and superfamily domains of known protein structures.

The Structural Classification of Proteins (SCOP) database is a classification of protein domains organised according to their evolutionary and structural relationships. We report a major effort to increase the coverage of structural data, aiming to provide classification of almost all domain superfamilies with representatives in the PDB. We have also improved the database schema, provided a new API and modernised the web interface. This is by far the most significant update in coverage since SCOP 1.75 and builds on the advances in schema from the SCOP 2 prototype. The database is accessible from http://scop.mrc-lmb.cam.ac.uk.

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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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