In Silico Methodologies to Improve Antioxidants' Characterization from Marine Organisms

被引:5
作者
Lauritano, Chiara [1 ]
Montuori, Eleonora [1 ,2 ]
De Falco, Gabriele [1 ]
Carrella, Sabrina [1 ]
机构
[1] Stn Zool Anton Dohrn, Ecosustainable Marine Biotechnol Dept, Via Acton 55, I-80133 Naples, Italy
[2] Univ Messina, Dept Chem Biol Pharmaceut & Environm Sci, Viale F Stagno Alcontres 31, I-98166 Messina, Italy
关键词
marine organisms; antioxidant compounds; enzymes; in silico search; bioinformatic analyses; BIOACTIVE PEPTIDES; CHEMICAL ECOLOGY; NATURAL-PRODUCTS; DOCKING; PREDICTION; EXTRACTS; COLLAGEN; STRESS; FOOD; GENE;
D O I
10.3390/antiox12030710
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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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页数:22
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