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  • 标题:Inferring Protein-Protein Interaction Networks From Mass Spectrometry-Based Proteomic Approaches: A Mini-Review
  • 本地全文:下载
  • 作者:Kumar Yugandhar ; Shagun Gupta ; Haiyuan Yu
  • 期刊名称:Computational and Structural Biotechnology Journal
  • 印刷版ISSN:2001-0370
  • 出版年度:2019
  • 卷号:17
  • 页码:805-811
  • DOI:10.1016/j.csbj.2019.05.007
  • 出版社:Computational and Structural Biotechnology Journal
  • 摘要:Studying protein-protein interaction networks provide key evidence for the underlying molecular mechanisms. Mass spectrometry-based proteomic approaches have been playing a pivotal role in deciphering these interaction networks, along with precise quantification for individual interactions. In this mini-review we discuss the available techniques and methods for qualitative and quantitative elucidation of protein-protein interaction networks. We then summarize the down-stream computational strategies for identification and quantification of interactions from those techniques. Finally, we highlight the challenges and limitations of current computational pipelines in eliminating false positive interactors, followed by a summary of the innovative algorithms to address these issues, along with the scope for future improvements.
  • 关键词:Protein-protein ; Interaction network ; Systems biology ; Mass spectrometry ; Proteomics
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