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通过对人类蛋白质复合物进行基准测试,研究药物相关系统并评估预测的蛋白质复合物。

Benchmarking human protein complexes to investigate drug-related systems and evaluate predicted protein complexes.

机构信息

School of Computer Engineering, Nanyang Technological University, Singapore, Singapore.

出版信息

PLoS One. 2013;8(2):e53197. doi: 10.1371/journal.pone.0053197. Epub 2013 Feb 6.

DOI:10.1371/journal.pone.0053197
PMID:23405067
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3566178/
Abstract

Protein complexes are key entities to perform cellular functions. Human diseases are also revealed to associate with some specific human protein complexes. In fact, human protein complexes are widely used for protein function annotation, inference of human protein interactome, disease gene prediction, and so on. Therefore, it is highly desired to build an up-to-date catalogue of human complexes to support the research in these applications. Protein complexes from different databases are as expected to be highly redundant. In this paper, we designed a set of concise operations to compile these redundant human complexes and built a comprehensive catalogue called CHPC2012 (Catalogue of Human Protein Complexes). CHPC2012 achieves a higher coverage for proteins and protein complexes than those individual databases. It is also verified to be a set of complexes with high quality as its co-complex protein associations have a high overlap with protein-protein interactions (PPI) in various existing PPI databases. We demonstrated two distinct applications of CHPC2012, that is, investigating the relationship between protein complexes and drug-related systems and evaluating the quality of predicted protein complexes. In particular, CHPC2012 provides more insights into drug development. For instance, proteins involved in multiple complexes (the overlapping proteins) are potential drug targets; the drug-complex network is utilized to investigate multi-target drugs and drug-drug interactions; and the disease-specific complex-drug networks will provide new clues for drug repositioning. With this up-to-date reference set of human protein complexes, we believe that the CHPC2012 catalogue is able to enhance the studies for protein interactions, protein functions, human diseases, drugs, and related fields of research. CHPC2012 complexes can be downloaded from http://www1.i2r.a-star.edu.sg/xlli/CHPC2012/CHPC2012.htm.

摘要

蛋白质复合物是执行细胞功能的关键实体。人类疾病也被揭示与一些特定的人类蛋白质复合物有关。事实上,人类蛋白质复合物广泛用于蛋白质功能注释、人类蛋白质互作网络的推断、疾病基因预测等。因此,构建一个最新的人类复合物目录来支持这些应用的研究是非常需要的。来自不同数据库的蛋白质复合物预计会高度冗余。在本文中,我们设计了一组简洁的操作来编译这些冗余的人类复合物,并构建了一个名为 CHPC2012(人类蛋白质复合物目录)的综合目录。CHPC2012 实现了比单个数据库更高的蛋白质和蛋白质复合物覆盖率。它还被验证为一组具有高质量的复合物,因为其共复合物蛋白质关联与各种现有的蛋白质-蛋白质相互作用 (PPI) 数据库中的蛋白质-蛋白质相互作用有很高的重叠。我们展示了 CHPC2012 的两个不同应用,即研究蛋白质复合物与药物相关系统的关系和评估预测蛋白质复合物的质量。特别是,CHPC2012 为药物开发提供了更多的见解。例如,涉及多个复合物(重叠蛋白)的蛋白质是潜在的药物靶点;利用药物-复合物网络来研究多靶点药物和药物-药物相互作用;以及特定疾病的复合物-药物网络将为药物重新定位提供新的线索。有了这个最新的人类蛋白质复合物参考集,我们相信 CHPC2012 目录能够增强蛋白质相互作用、蛋白质功能、人类疾病、药物和相关研究领域的研究。CHPC2012 复合物可从 http://www1.i2r.a-star.edu.sg/xlli/CHPC2012/CHPC2012.htm 下载。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01ac/3566178/79c183641359/pone.0053197.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01ac/3566178/155eda21637f/pone.0053197.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01ac/3566178/31757dce1777/pone.0053197.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01ac/3566178/7888f8f62d74/pone.0053197.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01ac/3566178/06656e69decb/pone.0053197.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01ac/3566178/79c183641359/pone.0053197.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01ac/3566178/155eda21637f/pone.0053197.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01ac/3566178/31757dce1777/pone.0053197.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01ac/3566178/7888f8f62d74/pone.0053197.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01ac/3566178/06656e69decb/pone.0053197.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01ac/3566178/79c183641359/pone.0053197.g005.jpg

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本文引用的文献

1
CORUM: the comprehensive resource of mammalian protein complexes-2019.CORUM:哺乳动物蛋白质复合物综合资源-2019 年版。
Nucleic Acids Res. 2019 Jan 8;47(D1):D559-D563. doi: 10.1093/nar/gky973.
2
The rise of translational bioinformatics.转化生物信息学的兴起。
Genome Biol. 2012 Aug 31;13(8):319. doi: 10.1186/gb-2012-13-8-319.
3
Rational drug repositioning guided by an integrated pharmacological network of protein, disease and drug.由蛋白质、疾病和药物的综合药理网络指导的合理药物重新定位。
基于稀疏蛋白质-蛋白质相互作用网络中惩罚矩阵分解的蛋白质复合物检测。
Molecules. 2018 Jun 15;23(6):1460. doi: 10.3390/molecules23061460.
4
Protein complex finding and ranking: An application to Alzheimer's disease.蛋白质复合物的发现与排序:在阿尔茨海默病中的应用
J Biosci. 2017 Sep;42(3):383-396. doi: 10.1007/s12038-017-9696-3.
5
Systems-level analysis of human aging genes shed new light on mechanisms of aging.对人类衰老基因的系统层面分析为衰老机制带来了新的见解。
Hum Mol Genet. 2016 Jul 15;25(14):2934-2947. doi: 10.1093/hmg/ddw145. Epub 2016 May 14.
6
Integration strategy is a key step in network-based analysis and dramatically affects network topological properties and inferring outcomes.整合策略是基于网络的分析中的关键步骤,并且极大地影响网络拓扑特性和推理结果。
Biomed Res Int. 2014;2014:296349. doi: 10.1155/2014/296349. Epub 2014 Aug 27.
7
Contemporary network proteomics and its requirements.当代网络蛋白质组学及其要求。
Biology (Basel). 2013 Dec 20;3(1):22-38. doi: 10.3390/biology3010022.
8
Detecting overlapping protein complexes by rough-fuzzy clustering in protein-protein interaction networks.基于蛋白质相互作用网络的粗糙-模糊聚类检测重叠蛋白质复合物。
PLoS One. 2014 Mar 18;9(3):e91856. doi: 10.1371/journal.pone.0091856. eCollection 2014.
BMC Syst Biol. 2012 Jul 2;6:80. doi: 10.1186/1752-0509-6-80.
4
MOfinder: a novel algorithm for detecting overlapping modules from protein-protein interaction network.MOfinder:一种从蛋白质-蛋白质相互作用网络中检测重叠模块的新算法。
J Biomed Biotechnol. 2012;2012:103702. doi: 10.1155/2012/103702. Epub 2012 Feb 8.
5
Drug development: Raise standards for preclinical cancer research.药物研发:提高临床前癌症研究标准。
Nature. 2012 Mar 28;483(7391):531-3. doi: 10.1038/483531a.
6
Modularity in protein complex and drug interactions reveals new polypharmacological properties.蛋白质复合物和药物相互作用的模块化揭示了新的多药理学特性。
PLoS One. 2012;7(1):e30028. doi: 10.1371/journal.pone.0030028. Epub 2012 Jan 18.
7
Proteomics signature profiling (PSP): a novel contextualization approach for cancer proteomics.蛋白质组学特征谱分析(PSP):癌症蛋白质组学的一种新的语境化方法。
J Proteome Res. 2012 Mar 2;11(3):1571-81. doi: 10.1021/pr200698c. Epub 2012 Feb 9.
8
Inferring gene-phenotype associations via global protein complex network propagation.通过全局蛋白质复合物网络传播推断基因-表型关联。
PLoS One. 2011;6(7):e21502. doi: 10.1371/journal.pone.0021502. Epub 2011 Jul 25.
9
Construction of co-complex score matrix for protein complex prediction from AP-MS data.基于 AP-MS 数据的蛋白质复合物预测的共复合物评分矩阵构建。
Bioinformatics. 2011 Jul 1;27(13):i159-66. doi: 10.1093/bioinformatics/btr212.
10
Network-based tools for the identification of novel drug targets.基于网络的新型药物靶点鉴定工具。
Sci Signal. 2011 May 17;4(173):pt3. doi: 10.1126/scisignal.2001950.