2026年的DisProt:增强内在无序蛋白质的可访问性,沉积和注释
Maria Victoria Nugnes1, Kamel Eddine Adel Bouhraoua1, Mehdi Zoubiri1
1Department of Biomedical Sciences, University of Padova, Padova 35131, Italy.
Nucleic acids research
|November 18, 2025
概括
对于内在无序蛋白质 (IDP) 的数据库DisProt已经扩展了其证据和特征. 它现在集成了计算预测,并提高了研究蛋白质疾病的研究人员的数据可访问性.
科学领域:
- 生物化学 生物化学
- 生物信息学是一种生物信息学.
- 结构生物学 结构生物学
背景情况:
- 内在无序的蛋白质 (IDP) 和区域 (IDR) 缺乏稳定的3D结构,在细胞功能中发挥关键作用.
- 像DisProt这样的数据库对于策划和传播关于IDP和IDR的实验证据至关重要.
- 越来越多的IDP研究需要在数据管理和可访问性方面不断更新和改进.
研究的目的:
- 介绍DisProt数据库的最新版本,强调其增长和新功能.
- 改进实验数据的整合和可访问性 关于内在无序的蛋白质和区域.
- 通过新的功能和数据扩展,增强DisProt对研究人员的实用性.
主要方法:
- 系统地采用关于疾病实验的最低信息 (MIADE) 准则,用于详细的注释.
- 扩展DisProt数据通过基于BLAST的同类传播在MobiDB.
- 将计算预测作为有效证据与实验数据相结合.
- 内在无序蛋白质 (IDP) 实体学的更新和重组.
主要成果:
- 现在DisProt包含3201个IDP和13,347个证据,超过1500个新的结构状态和1300个新的功能注释.
- 通过MIADE,试验细节的注释量增加了一倍以上,从而提高了可解释性.
- 障碍区域和相互作用已经通过同质传播扩展到数十万种蛋白质.
- 该数据库现在集成了计算预测,并提供了更新的IDP Ontology,以提高准确性和互操作性.
结论:
- 增强的DisProt数据库为研究内在无序蛋白质提供了更全面和更容易获得的资源.
- 新功能,包括集成的计算预测和更新的本体学,提高数据准确性和语义清晰度.
- 迪斯普罗特的演变成为混合知识库和存储系统,以及社区参与工具,支持更广泛的研究参与.
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