SVM-SulfoSite: A support vector machine based predictor for sulfenylation sites-Reference-Cited by-同舟云学术

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SVM-SulfoSite: A support vector machine based predictor for sulfenylation sites

Published:2018-07-26 Issue:1 Volume:8 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

AL-barakati Hussam J.,McConnell Evan W.,Hicks Leslie M.,Poole Leslie B.,Newman Robert H.,KC Dukka B.

Funder

National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41598-018-29126-x.pdf

Reference58 articles.

1. Poole, L. B. & Schoneich, C. Introduction: What we do and do not know regarding redox processes of thiols in signaling pathways. Free Radic Biol Med 80, 145–147 (2015).

2. Roos, G. & Messens, J. Protein sulfenic acid formation: from cellular damage to redox regulation. Free Radic Biol Med 51, 314–326 (2011).

3. Chung, H. S., Wang, S. B., Venkatraman, V., Murray, C. I. & Van Eyk, J. E. Cysteine oxidative posttranslational modifications: emerging regulation in the cardiovascular system. Circ Res 112, 382–392 (2013).

4. Yang, J., Gupta, V., Carroll, K. S. & Liebler, D. C. Site-specific mapping and quantification of protein S-sulphenylation in cells. Nat Commun 5, 4776 (2014).

5. Poole, L. B. The basics of thiols and cysteines in redox biology and chemistry. Free Radic Biol Med 80, 148–157 (2015).

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