Recent Advances in Predicting Protein S-Nitrosylation Sites | Zendy

Qian Zhao | Zendy; Jiaqi Ma | Zendy; Fang Xie | Zendy; Yu Wang | Zendy; Yu Zhang | Zendy; Hui Li | Zendy; Yuan Sun | Zendy; Liqi Wang | Zendy; Mian Guo | Zendy; Ke Han | Zendy

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Recent Advances in Predicting Protein S-Nitrosylation Sites

Author(s) -

Qian Zhao,

Jiaqi Ma,

Fang Xie,

Yu Wang,

Yu Zhang,

Hui Li,

Yuan Sun,

Liqi Wang,

Mian Guo,

Ke Han

Publication year - 2021

Publication title -

biomed research international

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.772

H-Index - 126

eISSN - 2314-6141

pISSN - 2314-6133

DOI - 10.1155/2021/5542224

Subject(s) - s nitrosylation , computational biology , identification (biology) , cysteine , drug discovery , posttranslational modification , chemistry , drug development , nanotechnology , computer science , biology , biochemistry , drug , materials science , pharmacology , enzyme , botany

Protein S-nitrosylation (SNO) is a process of covalent modification of nitric oxide (NO) and its derivatives and cysteine residues. SNO plays an essential role in reversible posttranslational modifications of proteins. The accurate prediction of SNO sites is crucial in revealing a certain biological mechanism of NO regulation and related drug development. Identification of the sites of SNO in proteins is currently a very hot topic. In this review, we briefly summarize recent advances in computationally identifying SNO sites. The challenges and future perspectives for identifying SNO sites are also discussed. We anticipate that this review will provide insights into research on SNO site prediction.

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