Integrating Networks and Proteomics: Moving Forward

被引：21

作者：

Bin Goh, Wilson Wen ^{[1
,2
]}

Wong, Limsoon ^{[2
,3
]}

机构：

[1] Tianjin Univ, Sch Pharmaceut Sci & Technol, Tianjin 300072, Peoples R China

[2] Natl Univ Singapore, Dept Comp Sci, Singapore 117417, Singapore

[3] Natl Univ Singapore, Dept Pathol, Singapore 119074, Singapore

来源：

TRENDS IN BIOTECHNOLOGY | 2016年 / 34卷 / 12期

关键词：

CONSISTENT DISEASE SUBNETWORKS; DIFFERENTIAL EXPRESSION; HUMAN INTERACTOME; BIOLOGY; CANCER; COMPLEXES; PROTEINS; DYNAMICS; DRAFT; MODEL;

D O I：

10.1016/j.tibtech.2016.05.015

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

Networks can resolve many analytical problems in proteomics, including incomplete coverage and inconsistency. Despite high expectations, network-related research in proteomics has experienced only modest growth. In practice, most current research examines non-quantitative usages, for example determining physical interactions among proteins or contextualizing a differential protein list, rather than addressing practical quantitative usages, for example predicting missing proteins or making sample-class predictions. Moreover, many applications are irreproducible and are not widely adopted owing to a lack of common standards, particularly evaluation criteria and gold-standard datasets. A concerted drive towards quantitative applications and convergence towards common standards is essential for 'network-based proteomics' to realize its development potential and make meaningful contributions to clinical applications.

引用

页码：951 / 959

页数：9

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