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Computational Structural Biology of S-nitrosylation of Cancer Targets

Nitric oxide (NO) plays an essential role in redox signaling in normal and pathological cellular conditions. In particular, it is well known to react in vivo with cysteines by the so-called S-nitrosylation reaction. S-nitrosylation is a selective and reversible post-translational modification that e...

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Autores principales: Bignon, Emmanuelle, Allega, Maria Francesca, Lucchetta, Marta, Tiberti, Matteo, Papaleo, Elena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6102371/
https://www.ncbi.nlm.nih.gov/pubmed/30155439
http://dx.doi.org/10.3389/fonc.2018.00272
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author Bignon, Emmanuelle
Allega, Maria Francesca
Lucchetta, Marta
Tiberti, Matteo
Papaleo, Elena
author_facet Bignon, Emmanuelle
Allega, Maria Francesca
Lucchetta, Marta
Tiberti, Matteo
Papaleo, Elena
author_sort Bignon, Emmanuelle
collection PubMed
description Nitric oxide (NO) plays an essential role in redox signaling in normal and pathological cellular conditions. In particular, it is well known to react in vivo with cysteines by the so-called S-nitrosylation reaction. S-nitrosylation is a selective and reversible post-translational modification that exerts a myriad of different effects, such as the modulation of protein conformation, activity, stability, and biological interaction networks. We have appreciated, over the last years, the role of S-nitrosylation in normal and disease conditions. In this context, structural and computational studies can help to dissect the complex and multifaceted role of this redox post-translational modification. In this review article, we summarized the current state-of-the-art on the mechanism of S-nitrosylation, along with the structural and computational studies that have helped to unveil its effects and biological roles. We also discussed the need to move new steps forward especially in the direction of employing computational structural biology to address the molecular and atomistic details of S-nitrosylation. Indeed, this redox modification has been so far an underappreciated redox post-translational modification by the computational biochemistry community. In our review, we primarily focus on S-nitrosylated proteins that are attractive cancer targets due to the emerging relevance of this redox modification in a cancer setting.
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spelling pubmed-61023712018-08-28 Computational Structural Biology of S-nitrosylation of Cancer Targets Bignon, Emmanuelle Allega, Maria Francesca Lucchetta, Marta Tiberti, Matteo Papaleo, Elena Front Oncol Oncology Nitric oxide (NO) plays an essential role in redox signaling in normal and pathological cellular conditions. In particular, it is well known to react in vivo with cysteines by the so-called S-nitrosylation reaction. S-nitrosylation is a selective and reversible post-translational modification that exerts a myriad of different effects, such as the modulation of protein conformation, activity, stability, and biological interaction networks. We have appreciated, over the last years, the role of S-nitrosylation in normal and disease conditions. In this context, structural and computational studies can help to dissect the complex and multifaceted role of this redox post-translational modification. In this review article, we summarized the current state-of-the-art on the mechanism of S-nitrosylation, along with the structural and computational studies that have helped to unveil its effects and biological roles. We also discussed the need to move new steps forward especially in the direction of employing computational structural biology to address the molecular and atomistic details of S-nitrosylation. Indeed, this redox modification has been so far an underappreciated redox post-translational modification by the computational biochemistry community. In our review, we primarily focus on S-nitrosylated proteins that are attractive cancer targets due to the emerging relevance of this redox modification in a cancer setting. Frontiers Media S.A. 2018-08-14 /pmc/articles/PMC6102371/ /pubmed/30155439 http://dx.doi.org/10.3389/fonc.2018.00272 Text en Copyright © 2018 Bignon, Allega, Lucchetta, Tiberti and Papaleo. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Bignon, Emmanuelle
Allega, Maria Francesca
Lucchetta, Marta
Tiberti, Matteo
Papaleo, Elena
Computational Structural Biology of S-nitrosylation of Cancer Targets
title Computational Structural Biology of S-nitrosylation of Cancer Targets
title_full Computational Structural Biology of S-nitrosylation of Cancer Targets
title_fullStr Computational Structural Biology of S-nitrosylation of Cancer Targets
title_full_unstemmed Computational Structural Biology of S-nitrosylation of Cancer Targets
title_short Computational Structural Biology of S-nitrosylation of Cancer Targets
title_sort computational structural biology of s-nitrosylation of cancer targets
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6102371/
https://www.ncbi.nlm.nih.gov/pubmed/30155439
http://dx.doi.org/10.3389/fonc.2018.00272
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