Suppr超能文献

预测的拟南芥互作组资源和基于网络拓扑的系统生物学分析。

The predicted Arabidopsis interactome resource and network topology-based systems biology analyses.

机构信息

State Key Laboratory of Plant Physiology and Biochemistry, Zhejiang University, Hangzhou 310058, People's Republic of China.

出版信息

Plant Cell. 2011 Mar;23(3):911-22. doi: 10.1105/tpc.110.082529. Epub 2011 Mar 25.

Abstract

Predicted interactions are a valuable complement to experimentally reported interactions in molecular mechanism studies, particularly for higher organisms, for which reported experimental interactions represent only a small fraction of their total interactomes. With careful engineering consideration of the lessons from previous efforts, the predicted arabidopsis interactome resource (PAIR; ) presents 149,900 potential molecular interactions, which are expected to cover approximately 24% of the entire interactome with approximately 40% precision. This study demonstrates that, although PAIR still has limited coverage, it is rich enough to capture many significant functional linkages within and between higher-order biological systems, such as pathways and biological processes. These inferred interactions can nicely power several network topology-based systems biology analyses, such as gene set linkage analysis, protein function prediction, and identification of regulatory genes demonstrating insignificant expression changes. The drastically expanded molecular network in PAIR has considerably improved the capability of these analyses to integrate existing knowledge and suggest novel insights into the function and coordination of genes and gene networks.

摘要

预测的相互作用是分子机制研究中实验报道相互作用的有价值的补充,特别是对于高等生物而言,实验报道的相互作用仅代表其总相互作用组的一小部分。通过对以往研究经验的精心工程设计考虑,预测的拟南芥相互作用组资源 (PAIR; ) 提供了 149,900 个潜在的分子相互作用,预计将用大约 40%的精度覆盖整个相互作用组的大约 24%。本研究表明,尽管 PAIR 的覆盖范围仍然有限,但它足够丰富,可以在较高阶生物系统(如途径和生物过程)内和之间捕获许多重要的功能联系。这些推断的相互作用可以很好地为几种基于网络拓扑的系统生物学分析提供动力,如基因集连锁分析、蛋白质功能预测以及鉴定表现出不显著表达变化的调节基因。PAIR 中急剧扩展的分子网络大大提高了这些分析将现有知识整合并提出关于基因和基因网络功能和协调的新见解的能力。

相似文献

3
PAIR: the predicted Arabidopsis interactome resource.PAIR:预测的拟南芥相互作用组资源。
Nucleic Acids Res. 2011 Jan;39(Database issue):D1134-40. doi: 10.1093/nar/gkq938. Epub 2010 Oct 15.
4
A kaleidoscopic view of the Arabidopsis core cell cycle interactome.拟南芥核心细胞周期互作组的万花筒视图。
Trends Plant Sci. 2011 Mar;16(3):141-50. doi: 10.1016/j.tplants.2010.12.004. Epub 2011 Jan 11.

引用本文的文献

3
Structure-based prediction of protein-protein interaction network in rice.基于结构的水稻蛋白质-蛋白质相互作用网络预测
Genet Mol Biol. 2024 Feb 2;47(1):e20230068. doi: 10.1590/1678-4685-GMB-2023-0068. eCollection 2024.
4
Amino acid motifs for the identification of novel protein interactants.用于鉴定新型蛋白质相互作用分子的氨基酸基序。
Comput Struct Biotechnol J. 2022 Dec 10;21:326-334. doi: 10.1016/j.csbj.2022.12.012. eCollection 2023.
7
The Protein-Protein Interaction Network of Haemocytes.血细胞的蛋白质-蛋白质相互作用网络
Front Physiol. 2019 Feb 25;10:156. doi: 10.3389/fphys.2019.00156. eCollection 2019.

本文引用的文献

1
PAIR: the predicted Arabidopsis interactome resource.PAIR:预测的拟南芥相互作用组资源。
Nucleic Acids Res. 2011 Jan;39(Database issue):D1134-40. doi: 10.1093/nar/gkq938. Epub 2010 Oct 15.
2
6
The language of calcium signaling.钙信号的语言。
Annu Rev Plant Biol. 2010;61:593-620. doi: 10.1146/annurev-arplant-070109-104628.
9
AtPIN: Arabidopsis thaliana protein interaction network.AtPIN:拟南芥蛋白质相互作用网络。
BMC Bioinformatics. 2009 Dec 31;10:454. doi: 10.1186/1471-2105-10-454.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验