Integrating Networks and Proteomics: Moving Forward.
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.
School of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, PR China; Department of Computer Science, National University of Singapore, 117417 Singapore. Electronic address: wilson.goh@tju.edu.cn.
Wilson Wen Bin
WWB
Goh
Department of Computer Science, National University of Singapore, 117417 Singapore; Department of Pathology, National University of Singapore, 119074 Singapore. Electronic address: wongls@comp.nus.edu.sg.
Limsoon
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Wong
D000818:Animals; D035843:Biomedical Research / Q000592:standards / Q000639:trends; D016208:Databases, Factual / Q000592:standards / Q000639:trends; D006801:Humans; D053858:Metabolic Networks and Pathways; D060066:Protein Interaction Maps; D040901:Proteomics / Q000592:standards / Q000639:trends; D015398:Signal Transduction
bioinformatics; networks; proteomics; translational research.