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Structure-Functional Study of Tyrosine and Methionine Dipeptides: An Approach to Antioxidant Activity Prediction

Quantum chemical methods allow screening and prediction of peptide antioxidant activity on the basis of known experimental data. It can be used to design the selective proteolysis of protein sources in order to obtain products with antioxidant activity. Molecular geometry and electronic descriptors...

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Autores principales: Torkova, Anna, Koroleva, Olga, Khrameeva, Ekaterina, Fedorova, Tatyana, Tsentalovich, Mikhail
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4632805/
https://www.ncbi.nlm.nih.gov/pubmed/26512651
http://dx.doi.org/10.3390/ijms161025353
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author Torkova, Anna
Koroleva, Olga
Khrameeva, Ekaterina
Fedorova, Tatyana
Tsentalovich, Mikhail
author_facet Torkova, Anna
Koroleva, Olga
Khrameeva, Ekaterina
Fedorova, Tatyana
Tsentalovich, Mikhail
author_sort Torkova, Anna
collection PubMed
description Quantum chemical methods allow screening and prediction of peptide antioxidant activity on the basis of known experimental data. It can be used to design the selective proteolysis of protein sources in order to obtain products with antioxidant activity. Molecular geometry and electronic descriptors of redox-active amino acids, as well as tyrosine and methionine-containing dipeptides, were studied by Density Functional Theory method. The calculated data was used to reveal several descriptors responsible for the antioxidant capacities of the model compounds based on their experimentally obtained antioxidant capacities against ABTS (2,2′-Azino-bis-(3-ethyl-benzothiazoline-6-sulfonate)) and peroxyl radical. A formula to predict antioxidant activity of peptides was proposed.
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spelling pubmed-46328052015-11-23 Structure-Functional Study of Tyrosine and Methionine Dipeptides: An Approach to Antioxidant Activity Prediction Torkova, Anna Koroleva, Olga Khrameeva, Ekaterina Fedorova, Tatyana Tsentalovich, Mikhail Int J Mol Sci Article Quantum chemical methods allow screening and prediction of peptide antioxidant activity on the basis of known experimental data. It can be used to design the selective proteolysis of protein sources in order to obtain products with antioxidant activity. Molecular geometry and electronic descriptors of redox-active amino acids, as well as tyrosine and methionine-containing dipeptides, were studied by Density Functional Theory method. The calculated data was used to reveal several descriptors responsible for the antioxidant capacities of the model compounds based on their experimentally obtained antioxidant capacities against ABTS (2,2′-Azino-bis-(3-ethyl-benzothiazoline-6-sulfonate)) and peroxyl radical. A formula to predict antioxidant activity of peptides was proposed. MDPI 2015-10-23 /pmc/articles/PMC4632805/ /pubmed/26512651 http://dx.doi.org/10.3390/ijms161025353 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Torkova, Anna
Koroleva, Olga
Khrameeva, Ekaterina
Fedorova, Tatyana
Tsentalovich, Mikhail
Structure-Functional Study of Tyrosine and Methionine Dipeptides: An Approach to Antioxidant Activity Prediction
title Structure-Functional Study of Tyrosine and Methionine Dipeptides: An Approach to Antioxidant Activity Prediction
title_full Structure-Functional Study of Tyrosine and Methionine Dipeptides: An Approach to Antioxidant Activity Prediction
title_fullStr Structure-Functional Study of Tyrosine and Methionine Dipeptides: An Approach to Antioxidant Activity Prediction
title_full_unstemmed Structure-Functional Study of Tyrosine and Methionine Dipeptides: An Approach to Antioxidant Activity Prediction
title_short Structure-Functional Study of Tyrosine and Methionine Dipeptides: An Approach to Antioxidant Activity Prediction
title_sort structure-functional study of tyrosine and methionine dipeptides: an approach to antioxidant activity prediction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4632805/
https://www.ncbi.nlm.nih.gov/pubmed/26512651
http://dx.doi.org/10.3390/ijms161025353
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