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In Silico Methodologies to Improve Antioxidants’ Characterization from Marine Organisms
Marine organisms have been reported to be valuable sources of bioactive molecules that have found applications in different industrial fields. From organism sampling to the identification and bioactivity characterization of a specific compound, different steps are necessary, which are time- and cost...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10045275/ https://www.ncbi.nlm.nih.gov/pubmed/36978958 http://dx.doi.org/10.3390/antiox12030710 |
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author | Lauritano, Chiara Montuori, Eleonora De Falco, Gabriele Carrella, Sabrina |
author_facet | Lauritano, Chiara Montuori, Eleonora De Falco, Gabriele Carrella, Sabrina |
author_sort | Lauritano, Chiara |
collection | PubMed |
description | Marine organisms have been reported to be valuable sources of bioactive molecules that have found applications in different industrial fields. From organism sampling to the identification and bioactivity characterization of a specific compound, different steps are necessary, which are time- and cost-consuming. Thanks to the advent of the -omic era, numerous genome, metagenome, transcriptome, metatranscriptome, proteome and microbiome data have been reported and deposited in public databases. These advancements have been fundamental for the development of in silico strategies for basic and applied research. In silico studies represent a convenient and efficient approach to the bioactivity prediction of known and newly identified marine molecules, reducing the time and costs of “wet-lab” experiments. This review focuses on in silico approaches applied to bioactive molecule discoveries from marine organisms. When available, validation studies reporting a bioactivity assay to confirm the presence of an antioxidant molecule or enzyme are reported, as well. Overall, this review suggests that in silico approaches can offer a valuable alternative to most expensive approaches and proposes them as a little explored field in which to invest. |
format | Online Article Text |
id | pubmed-10045275 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100452752023-03-29 In Silico Methodologies to Improve Antioxidants’ Characterization from Marine Organisms Lauritano, Chiara Montuori, Eleonora De Falco, Gabriele Carrella, Sabrina Antioxidants (Basel) Review Marine organisms have been reported to be valuable sources of bioactive molecules that have found applications in different industrial fields. From organism sampling to the identification and bioactivity characterization of a specific compound, different steps are necessary, which are time- and cost-consuming. Thanks to the advent of the -omic era, numerous genome, metagenome, transcriptome, metatranscriptome, proteome and microbiome data have been reported and deposited in public databases. These advancements have been fundamental for the development of in silico strategies for basic and applied research. In silico studies represent a convenient and efficient approach to the bioactivity prediction of known and newly identified marine molecules, reducing the time and costs of “wet-lab” experiments. This review focuses on in silico approaches applied to bioactive molecule discoveries from marine organisms. When available, validation studies reporting a bioactivity assay to confirm the presence of an antioxidant molecule or enzyme are reported, as well. Overall, this review suggests that in silico approaches can offer a valuable alternative to most expensive approaches and proposes them as a little explored field in which to invest. MDPI 2023-03-13 /pmc/articles/PMC10045275/ /pubmed/36978958 http://dx.doi.org/10.3390/antiox12030710 Text en © 2023 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 Lauritano, Chiara Montuori, Eleonora De Falco, Gabriele Carrella, Sabrina In Silico Methodologies to Improve Antioxidants’ Characterization from Marine Organisms |
title | In Silico Methodologies to Improve Antioxidants’ Characterization from Marine Organisms |
title_full | In Silico Methodologies to Improve Antioxidants’ Characterization from Marine Organisms |
title_fullStr | In Silico Methodologies to Improve Antioxidants’ Characterization from Marine Organisms |
title_full_unstemmed | In Silico Methodologies to Improve Antioxidants’ Characterization from Marine Organisms |
title_short | In Silico Methodologies to Improve Antioxidants’ Characterization from Marine Organisms |
title_sort | in silico methodologies to improve antioxidants’ characterization from marine organisms |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10045275/ https://www.ncbi.nlm.nih.gov/pubmed/36978958 http://dx.doi.org/10.3390/antiox12030710 |
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