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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...

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Autores principales: Zhao, Qian, Ma, Jiaqi, Xie, Fang, Wang, Yu, Zhang, Yu, Li, Hui, Sun, Yuan, Wang, Liqi, Guo, Mian, Han, Ke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892234/
https://www.ncbi.nlm.nih.gov/pubmed/33628788
http://dx.doi.org/10.1155/2021/5542224
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author Zhao, Qian
Ma, Jiaqi
Xie, Fang
Wang, Yu
Zhang, Yu
Li, Hui
Sun, Yuan
Wang, Liqi
Guo, Mian
Han, Ke
author_facet Zhao, Qian
Ma, Jiaqi
Xie, Fang
Wang, Yu
Zhang, Yu
Li, Hui
Sun, Yuan
Wang, Liqi
Guo, Mian
Han, Ke
author_sort Zhao, Qian
collection PubMed
description 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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spelling pubmed-78922342021-02-23 Recent Advances in Predicting Protein S-Nitrosylation Sites Zhao, Qian Ma, Jiaqi Xie, Fang Wang, Yu Zhang, Yu Li, Hui Sun, Yuan Wang, Liqi Guo, Mian Han, Ke Biomed Res Int Review Article 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. Hindawi 2021-02-09 /pmc/articles/PMC7892234/ /pubmed/33628788 http://dx.doi.org/10.1155/2021/5542224 Text en Copyright © 2021 Qian Zhao et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Zhao, Qian
Ma, Jiaqi
Xie, Fang
Wang, Yu
Zhang, Yu
Li, Hui
Sun, Yuan
Wang, Liqi
Guo, Mian
Han, Ke
Recent Advances in Predicting Protein S-Nitrosylation Sites
title Recent Advances in Predicting Protein S-Nitrosylation Sites
title_full Recent Advances in Predicting Protein S-Nitrosylation Sites
title_fullStr Recent Advances in Predicting Protein S-Nitrosylation Sites
title_full_unstemmed Recent Advances in Predicting Protein S-Nitrosylation Sites
title_short Recent Advances in Predicting Protein S-Nitrosylation Sites
title_sort recent advances in predicting protein s-nitrosylation sites
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892234/
https://www.ncbi.nlm.nih.gov/pubmed/33628788
http://dx.doi.org/10.1155/2021/5542224
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