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Theoretical Modeling of Redox Potentials of Biomolecules

The estimation of the redox potentials of biologically relevant systems by means of theoretical-computational approaches still represents a challenge. In fact, the size of these systems typically does not allow a full quantum-mechanical treatment needed to describe electron loss/gain in such a compl...

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Autores principales: Chen, Cheng Giuseppe, Nardi, Alessandro Nicola, Amadei, Andrea, D’Abramo, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838479/
https://www.ncbi.nlm.nih.gov/pubmed/35164342
http://dx.doi.org/10.3390/molecules27031077
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author Chen, Cheng Giuseppe
Nardi, Alessandro Nicola
Amadei, Andrea
D’Abramo, Marco
author_facet Chen, Cheng Giuseppe
Nardi, Alessandro Nicola
Amadei, Andrea
D’Abramo, Marco
author_sort Chen, Cheng Giuseppe
collection PubMed
description The estimation of the redox potentials of biologically relevant systems by means of theoretical-computational approaches still represents a challenge. In fact, the size of these systems typically does not allow a full quantum-mechanical treatment needed to describe electron loss/gain in such a complex environment, where the redox process takes place. Therefore, a number of different theoretical strategies have been developed so far to make the calculation of the redox free energy feasible with current computational resources. In this review, we provide a survey of such theoretical-computational approaches used in this context, highlighting their physical principles and discussing their advantages and limitations. Several examples of these approaches applied to the estimation of the redox potentials of both proteins and nucleic acids are described and critically discussed. Finally, general considerations on the most promising strategies are reported.
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spelling pubmed-88384792022-02-13 Theoretical Modeling of Redox Potentials of Biomolecules Chen, Cheng Giuseppe Nardi, Alessandro Nicola Amadei, Andrea D’Abramo, Marco Molecules Review The estimation of the redox potentials of biologically relevant systems by means of theoretical-computational approaches still represents a challenge. In fact, the size of these systems typically does not allow a full quantum-mechanical treatment needed to describe electron loss/gain in such a complex environment, where the redox process takes place. Therefore, a number of different theoretical strategies have been developed so far to make the calculation of the redox free energy feasible with current computational resources. In this review, we provide a survey of such theoretical-computational approaches used in this context, highlighting their physical principles and discussing their advantages and limitations. Several examples of these approaches applied to the estimation of the redox potentials of both proteins and nucleic acids are described and critically discussed. Finally, general considerations on the most promising strategies are reported. MDPI 2022-02-05 /pmc/articles/PMC8838479/ /pubmed/35164342 http://dx.doi.org/10.3390/molecules27031077 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Chen, Cheng Giuseppe
Nardi, Alessandro Nicola
Amadei, Andrea
D’Abramo, Marco
Theoretical Modeling of Redox Potentials of Biomolecules
title Theoretical Modeling of Redox Potentials of Biomolecules
title_full Theoretical Modeling of Redox Potentials of Biomolecules
title_fullStr Theoretical Modeling of Redox Potentials of Biomolecules
title_full_unstemmed Theoretical Modeling of Redox Potentials of Biomolecules
title_short Theoretical Modeling of Redox Potentials of Biomolecules
title_sort theoretical modeling of redox potentials of biomolecules
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838479/
https://www.ncbi.nlm.nih.gov/pubmed/35164342
http://dx.doi.org/10.3390/molecules27031077
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