Assessing the Performance of Non-Equilibrium Thermodynamic Integration in Flavodoxin Redox Potential Estimation.

MD simulations flavoproteins redox potential thermodynamic integration

Journal

Molecules (Basel, Switzerland)
ISSN: 1420-3049
Titre abrégé: Molecules
Pays: Switzerland
ID NLM: 100964009

Informations de publication

Date de publication:
11 Aug 2023
Historique:
received: 30 06 2023
revised: 07 08 2023
accepted: 09 08 2023
medline: 28 8 2023
pubmed: 26 8 2023
entrez: 26 8 2023
Statut: epublish

Résumé

Flavodoxins are enzymes that contain the redox-active flavin mononucleotide (FMN) cofactor and play a crucial role in numerous biological processes, including energy conversion and electron transfer. Since the redox characteristics of flavodoxins are significantly impacted by the molecular environment of the FMN cofactor, the evaluation of the interplay between the redox properties of the flavin cofactor and its molecular surroundings in flavoproteins is a critical area of investigation for both fundamental research and technological advancements, as the electrochemical tuning of flavoproteins is necessary for optimal interaction with redox acceptor or donor molecules. In order to facilitate the rational design of biomolecular devices, it is imperative to have access to computational tools that can accurately predict the redox potential of both natural and artificial flavoproteins. In this study, we have investigated the feasibility of using non-equilibrium thermodynamic integration protocols to reliably predict the redox potential of flavodoxins. Using as a test set the wild-type flavodoxin from

Identifiants

pubmed: 37630271
pii: molecules28166016
doi: 10.3390/molecules28166016
pmc: PMC10459689
pii:
doi:

Substances chimiques

Flavodoxin 0
Flavoproteins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : European Union
ID : PE_00000019 "HEAL ITALIA"

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Auteurs

Giuseppe Silvestri (G)

Department of Biotechnology and Biosciences BtBs, University of Milano-Bicocca, Piazza dell'Ateneo Nuovo 1, 20126 Milan, Italy.

Federica Arrigoni (F)

Department of Biotechnology and Biosciences BtBs, University of Milano-Bicocca, Piazza dell'Ateneo Nuovo 1, 20126 Milan, Italy.

Francesca Persico (F)

Department of Biotechnology and Biosciences BtBs, University of Milano-Bicocca, Piazza dell'Ateneo Nuovo 1, 20126 Milan, Italy.

Luca Bertini (L)

Department of Biotechnology and Biosciences BtBs, University of Milano-Bicocca, Piazza dell'Ateneo Nuovo 1, 20126 Milan, Italy.

Giuseppe Zampella (G)

Department of Biotechnology and Biosciences BtBs, University of Milano-Bicocca, Piazza dell'Ateneo Nuovo 1, 20126 Milan, Italy.

Luca De Gioia (L)

Department of Biotechnology and Biosciences BtBs, University of Milano-Bicocca, Piazza dell'Ateneo Nuovo 1, 20126 Milan, Italy.

Jacopo Vertemara (J)

Department of Biotechnology and Biosciences BtBs, University of Milano-Bicocca, Piazza dell'Ateneo Nuovo 1, 20126 Milan, Italy.

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Classifications MeSH