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In silico methodologies to improve antioxidants’ characterization from marine organisms
Lauritano, C.; Montuori, E.; De Falco, G.; Carrella, S. (2023). In silico methodologies to improve antioxidants’ characterization from marine organisms. Antioxidants 12(3): 710. https://dx.doi.org/10.3390/antiox12030710
In: Antioxidants. MDPI: Basel. e-ISSN 2076-3921
Peer reviewed article  

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Trefwoord
    Marien/Kust
Author keywords
    marine organisms; antioxidant compounds; enzymes; in silico search; bioinformatic analyses

Auteurs  Top 
  • Lauritano, C.
  • Montuori, E.
  • De Falco, G.
  • Carrella, S.

Abstract
    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.

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