Recent Advances in Predicting Protein S-Nitrosylation Sites.
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...
| Publicado en: | BioMed Research International pp. 1 - 11 |
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| Autores principales: | , , , , , , , , , |
| Formato: | review tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
2/11/2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=148654233&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 148654233 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 2/11/2021 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 148654233 148654233 148654233 10.1155/2021/5542224 148654233 ppf: 1 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Recent Advances in Predicting Protein S-Nitrosylation Sites. aug: au: Zhao, Qian Ma, Jiaqi Xie, Fang Wang, Yu Zhang, Yu Li, Hui Sun, Yuan Wang, Liqi Guo, Mian Han, Ke affil: School of Computer and Information Engineering, Heilongjiang Provincial Key Laboratory of Electronic Commerce and Information Processing, Harbin University of Commerce, Harbin 150028, China sug: subj: Proteins Nitric Oxide Metabolism Drug Design Cysteine Metabolism Bioinformatics ab: 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. pubtype: Academic Journal doctype: review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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