EMICSS: added-value annotations for EMDB entries.

IF 2.8 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Bioinformatics advances Pub Date : 2025-09-05 eCollection Date: 2025-01-01 DOI:10.1093/bioadv/vbaf203
Amudha Kumari Duraisamy, Neli Fonseca, Gerard J Kleywegt, Ardan Patwardhan, Kyle L Morris
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引用次数: 0

Abstract

Motivation: The electron microscopy data bank (EMDB) is a key repository for three-dimensional electron microscopy (3DEM) data but lacks comprehensive annotations and connections to many related biological, functional, and structural data resources. This limitation arises from the optional nature of such information to reduce depositor burden and the complexity of maintaining up-to-date external references, often requiring depositor consent. To address these challenges, we developed EMDB Integration with Complexes, Structures, and Sequences (EMICSS), an independent system that automatically updates cross-references with over 20 external resources, including UniProt, AlphaFold DB, PubMed, Complex Portal, and Gene Ontology.

Results: EMICSS (https://www.ebi.ac.uk/emdb/emicss) annotations are accessible in multiple formats for every EMDB entry and its linked resources, and programmatically via the EMDB application programming interface. EMICSS plays a crucial role supporting the EMDB website, with annotations being used on entry pages, statistics, and in the search system.

Availability and implementation: EMICSS is implemented in Python and it is an open-source, distributed under the Apache license version 2.0, with core code available on GitHub (https://github.com/emdb-empiar/added_annotations).

EMICSS: EMDB条目的附加值注释。
动机:电子显微镜数据库(EMDB)是三维电子显微镜(3DEM)数据的关键存储库,但缺乏对许多相关生物、功能和结构数据资源的全面注释和连接。这种限制是由于这些信息的可选性质,以减少存款人的负担和维护最新外部参考资料的复杂性,通常需要存款人的同意。为了应对这些挑战,我们开发了EMDB与复合物、结构和序列的集成(EMICSS),这是一个独立的系统,可以自动更新与20多个外部资源的交叉引用,包括UniProt、AlphaFold DB、PubMed、Complex Portal和Gene Ontology。结果:EMICSS (https://www.ebi.ac.uk/emdb/emicss)注释可以通过EMDB应用程序编程接口以多种格式访问每个EMDB条目及其链接资源。EMICSS在支持EMDB网站方面起着至关重要的作用,在条目页面、统计数据和搜索系统中使用了注释。可用性和实现:EMICSS是用Python实现的,它是一个开源软件,在Apache许可2.0版本下发布,核心代码可在GitHub (https://github.com/emdb-empiar/added_annotations)上获得。
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
CiteScore
1.60
自引率
0.00%
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