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IID 2021:通过增加覆盖度、增强注释和富集分析实现针对具体上下文的蛋白质相互作用分析。

IID 2021: towards context-specific protein interaction analyses by increased coverage, enhanced annotation and enrichment analysis.

机构信息

Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute and Data Science Discovery Centre for Chronic Diseases, Krembil Research Institute, University Health Network, Toronto, ON M5T 0S8, Canada.

Departments of Medical Biophysics and Computer Science, University of Toronto, Toronto, ON M5S 1A4, Canada.

出版信息

Nucleic Acids Res. 2022 Jan 7;50(D1):D640-D647. doi: 10.1093/nar/gkab1034.

DOI:10.1093/nar/gkab1034
PMID:34755877
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8728267/
Abstract

Improved bioassays have significantly increased the rate of identifying new protein-protein interactions (PPIs), and the number of detected human PPIs has greatly exceeded early estimates of human interactome size. These new PPIs provide a more complete view of disease mechanisms but precise understanding of how PPIs affect phenotype remains a challenge. It requires knowledge of PPI context (e.g. tissues, subcellular localizations), and functional roles, especially within pathways and protein complexes. The previous IID release focused on PPI context, providing networks with comprehensive tissue, disease, cellular localization, and druggability annotations. The current update adds developmental stages to the available contexts, and provides a way of assigning context to PPIs that could not be previously annotated due to insufficient data or incompatibility with available context categories (e.g. interactions between membrane and cytoplasmic proteins). This update also annotates PPIs with conservation across species, directionality in pathways, membership in large complexes, interaction stability (i.e. stable or transient), and mutation effects. Enrichment analysis is now available for all annotations, and includes multiple options; for example, context annotations can be analyzed with respect to PPIs or network proteins. In addition to tabular view or download, IID provides online network visualization. This update is available at http://ophid.utoronto.ca/iid.

摘要

改进后的生物测定方法大大提高了识别新的蛋白质-蛋白质相互作用 (PPIs) 的速度,并且检测到的人类 PPIs 的数量大大超过了人类相互作用组大小的早期估计。这些新的 PPIs 提供了对疾病机制更完整的认识,但精确理解 PPIs 如何影响表型仍然是一个挑战。它需要了解 PPI 的背景(例如组织、亚细胞定位)和功能作用,特别是在途径和蛋白质复合物内。以前的 IID 版本侧重于 PPI 背景,提供了具有全面组织、疾病、细胞定位和可用药性注释的网络。当前的更新增加了可用于的发展阶段,并提供了一种为以前由于数据不足或与现有背景类别不兼容而无法注释的 PPIs 分配背景的方法(例如,膜和细胞质蛋白之间的相互作用)。此更新还为跨物种的保守性、途径中的方向性、大型复合物的成员资格、相互作用稳定性(即稳定或瞬态)和突变效应注释 PPIs。现在所有注释都可以进行富集分析,并且包含多个选项;例如,可以根据 PPIs 或网络蛋白分析上下文注释。除了表格视图或下载外,IID 还提供在线网络可视化。此更新可在 http://ophid.utoronto.ca/iid 上获得。

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