Literature DB >> 33628788

Recent Advances in Predicting Protein S-Nitrosylation Sites.

Qian Zhao1, Jiaqi Ma1, Fang Xie1, Yu Wang1, Yu Zhang1, Hui Li1, Yuan Sun2, Liqi Wang1, Mian Guo3, Ke Han1.   

Abstract

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.
Copyright © 2021 Qian Zhao et al.

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Year:  2021        PMID: 33628788      PMCID: PMC7892234          DOI: 10.1155/2021/5542224

Source DB:  PubMed          Journal:  Biomed Res Int            Impact factor:   3.411


  114 in total

1.  Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences.

Authors:  Weizhong Li; Adam Godzik
Journal:  Bioinformatics       Date:  2006-05-26       Impact factor: 6.937

2.  Protein Function Prediction: From Traditional Classifier to Deep Learning.

Authors:  Zhibin Lv; Chunyan Ao; Quan Zou
Journal:  Proteomics       Date:  2019-07-11       Impact factor: 3.984

3.  Deep-Resp-Forest: A deep forest model to predict anti-cancer drug response.

Authors:  Ran Su; Xinyi Liu; Leyi Wei; Quan Zou
Journal:  Methods       Date:  2019-02-14       Impact factor: 3.608

4.  Nitric oxide mimics transcriptional and post-translational regulation during α-tocopherol cytoprotection against glycochenodeoxycholate-induced cell death in hepatocytes.

Authors:  Raúl González; Adolfo Cruz; Gustavo Ferrín; Pedro López-Cillero; Rubén Fernández-Rodríguez; Javier Briceño; Miguel A Gómez; Sebastián Rufián; Manuel De la Mata; Antonio Martínez-Ruiz; Jose J G Marin; Jordi Muntané
Journal:  J Hepatol       Date:  2010-11-26       Impact factor: 25.083

5.  Predicting drug-target interaction networks based on functional groups and biological features.

Authors:  Zhisong He; Jian Zhang; Xiao-He Shi; Le-Le Hu; Xiangyin Kong; Yu-Dong Cai; Kuo-Chen Chou
Journal:  PLoS One       Date:  2010-03-11       Impact factor: 3.240

6.  Detergent-free biotin switch combined with liquid chromatography/tandem mass spectrometry in the analysis of S-nitrosylated proteins.

Authors:  Peiwei Han; Chang Chen
Journal:  Rapid Commun Mass Spectrom       Date:  2008-04       Impact factor: 2.419

7.  Identification of Sub-Golgi protein localization by use of deep representation learning features.

Authors:  Zhibin Lv; Pingping Wang; Quan Zou; Qinghua Jiang
Journal:  Bioinformatics       Date:  2020-12-26       Impact factor: 6.937

8.  MeDReaders: a database for transcription factors that bind to methylated DNA.

Authors:  Guohua Wang; Ximei Luo; Jianan Wang; Jun Wan; Shuli Xia; Heng Zhu; Jiang Qian; Yadong Wang
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 19.160

9.  Transcription factor and microRNA regulation in androgen-dependent and -independent prostate cancer cells.

Authors:  Guohua Wang; Yadong Wang; Weixing Feng; Xin Wang; Jack Y Yang; Yuming Zhao; Yue Wang; Yunlong Liu
Journal:  BMC Genomics       Date:  2008-09-16       Impact factor: 3.969

10.  PSNO: predicting cysteine S-nitrosylation sites by incorporating various sequence-derived features into the general form of Chou's PseAAC.

Authors:  Jian Zhang; Xiaowei Zhao; Pingping Sun; Zhiqiang Ma
Journal:  Int J Mol Sci       Date:  2014-06-25       Impact factor: 5.923

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  1 in total

1.  S-Nitrosation of E3 Ubiquitin Ligase Complex Components Regulates Hormonal Signalings in Arabidopsis.

Authors:  Maria Cecilia Terrile; Nuria Malena Tebez; Silvana Lorena Colman; Julieta Lisa Mateos; Esperanza Morato-López; Nuria Sánchez-López; Alicia Izquierdo-Álvarez; Anabel Marina; Luz Irina A Calderón Villalobos; Mark Estelle; Antonio Martínez-Ruiz; Diego Fernando Fiol; Claudia Anahí Casalongué; María José Iglesias
Journal:  Front Plant Sci       Date:  2022-02-04       Impact factor: 5.753

  1 in total

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