LAPSE:2020.0008
Published Article
LAPSE:2020.0008
In Silico Tools and Phosphoproteomic Software Exclusives
Piby Paul, Manikandan Muthu, Yojitha Chilukuri, Steve W. Haga, Sechul Chun, Jae-Wook Oh
January 2, 2020
Proteomics and phosphoproteomics have been emerging as new dimensions of omics. Phosphorylation has a profound impact on the biological functions and applications of proteins. It influences everything from intrinsic activity and extrinsic executions to cellular localization. This post-translational modification has been subjected to detailed study and has been an object of analytical curiosity with the advent of faster instrumentation. The major strength of phosphoproteomic research lies in the fact that it gives an overall picture of the workforce of the cell. Phosphoproteomics gives deeper insights into understanding the mechanism behind development and progression of a disease. This review for the first time consolidates the list of existing bioinformatics tools developed for phosphoproteomics. The gap between development of bioinformatics tools and their implementation in clinical research is highlighted. The challenge facing progress is ideally believed to be the interdisciplinary arena this field of research is associated with. For meaningful solutions and deliverables, these tools need to be implemented in clinical studies for obtaining answers to pharmacodynamic questions, saving time, costs and energy. This review hopes to invoke some thought in this direction.
Keywords
bioinformatics, data analysis, databases, phosphoproteomics, proteomics, tools
Suggested Citation
Paul P, Muthu M, Chilukuri Y, Haga SW, Chun S, Oh JW. In Silico Tools and Phosphoproteomic Software Exclusives. (2020). LAPSE:2020.0008
Author Affiliations
Paul P: St. Jude Childrens Cancer Research Hospital, 262 Danny Thomas Place, Memphis, TN 38105, USA
Muthu M: Department of Environmental Health Sciences, Konkuk University, Seoul 143-701, Korea
Chilukuri Y: St. Jude Childrens Cancer Research Hospital, 262 Danny Thomas Place, Memphis, TN 38105, USA
Haga SW: Department of Computer Science and Engineering, National Sun Yat Sen University, Kaohsiung 804, Taiwan
Chun S: Department of Environmental Health Sciences, Konkuk University, Seoul 143-701, Korea [ORCID]
Oh JW: Department of Stem Cell and Regenerative Biology, Konkuk University, Seoul 05029, Korea [ORCID]
Journal Name
Processes
Volume
7
Issue
12
Article Number
E869
Year
2019
Publication Date
2019-11-21
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr7120869, Publication Type: Review
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LAPSE:2020.0008
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doi:10.3390/pr7120869
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Jan 2, 2020
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CC BY 4.0
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Original Submitter
Calvin Tsay
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