MOBIDB in 2025: integrating ensemble properties and function annotations for intrinsically disordered proteins.

IF 16.6 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Damiano Piovesan, Alessio Del Conte, Mahta Mehdiabadi, Maria Cristina Aspromonte, Matthias Blum, Giulio Tesei, Sören von Bülow, Kresten Lindorff-Larsen, Silvio C E Tosatto
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引用次数: 0

Abstract

The MobiDB database (URL: https://mobidb.org/) aims to provide structural and functional information about intrinsic protein disorder, aggregating annotations from the literature, experimental data, and predictions for all known protein sequences. Here, we describe the improvements made to our resource to capture more information, simplify access to the aggregated data, and increase documentation of all MobiDB features. Compared to the previous release, all underlying pipeline modules were updated. The prediction module is ten times faster and can detect if a predicted disordered region is structurally extended or compact. The PDB component is now able to process large cryo-EM structures extending the number of processed entries. The entry page has been restyled to highlight functional aspects of disorder and all graphical modules have been completely reimplemented for better flexibility and faster rendering. The server has been improved to optimise bulk downloads. Annotation provenance has been standardised by adopting ECO terms. Finally, we propagated disorder function (IDPO and GO terms) from the DisProt database exploiting sequence similarity and protein embeddings. These improvements, along with the addition of comprehensive training material, offer a more intuitive interface and novel functional knowledge about intrinsic disorder.

2025 年的 MOBIDB:整合内在无序蛋白质的集合属性和功能注释。
MobiDB 数据库(URL: https://mobidb.org/)旨在提供有关蛋白质内在紊乱的结构和功能信息,汇总了来自文献的注释、实验数据以及对所有已知蛋白质序列的预测。在此,我们将介绍为获取更多信息、简化对聚合数据的访问以及增加所有 MobiDB 功能的文档而对我们的资源所做的改进。与上一版本相比,我们更新了所有底层管道模块。预测模块的速度提高了十倍,并能检测出预测的无序区域在结构上是扩展的还是紧凑的。PDB 组件现在可以处理大型冷冻电镜结构,从而增加了处理条目的数量。条目页面经过重新设计,突出了无序的功能方面,所有图形模块都经过重新设计,具有更好的灵活性和更快的渲染速度。对服务器进行了改进,以优化批量下载。通过采用 ECO 术语,对注释出处进行了标准化。最后,我们利用序列相似性和蛋白质嵌入,从 DisProt 数据库中传播了紊乱功能(IDPO 和 GO 术语)。这些改进以及新增的综合培训材料,为我们提供了更直观的界面和有关内在紊乱的新功能知识。
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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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