Conventional and in silico approaches to select promising food-derived bioactive peptides: A review

Peredo-Lovillo, Audry; Hérnández-Mendoza, Adrian; Vallejo-Córdoba, Belinda; Romero-Luna, Haydee Eliza

doi:10.1016/j.fochx.2021.100183

Cited by 26 publications

(26 citation statements)

References 122 publications

(205 reference statements)

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“…However, conventional umami peptide screening is currently associated with a certain degree of blindness (a large number of enzymatic hydrolysis tests to determine the enzymatic hydrolysis conditions), and this method is not suitable for industrial production because it is laborious, time-consuming, and expensive. 12 To circumvent the aforementioned drawbacks, the in silico experiment has been used for virtual screening. Moreover, new bioinformatics techniques have been developed.…”

Section: Introductionmentioning

confidence: 99%

Identification of umami peptides based on virtual screening and molecular docking from Atlantic cod (Gadus morhua)

et al. 2023

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Section: Introductionmentioning

confidence: 99%

Identification of umami peptides based on virtual screening and molecular docking from Atlantic cod (Gadus morhua)

et al. 2023

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“…Contrary to this, thrombin enzyme and micellar cholesterol inhibitions were significantly ( p < 0.05) higher for FM with J23 than that for FM with J20. Thus, these results showed that not only peptide abundance but also specific peptides released might be responsible for these effects (Peredo-Lovillo et al 2022 ).…”

Section: Resultsmentioning

confidence: 93%

“…In general, it has been reported that more peptide abundance is related to a greater bioactivity (Peredo-Lovillo et al 2022 ). In this sense, ACE inhibition for FM with J20 was significantly higher ( p < 0.05) than that for FM with J23.…”

Section: Resultsmentioning

confidence: 99%

Fermented milks with specific Lactobacillus spp. with potential cardioprotective effects

et al. 2023

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In vitro and in vivo studies have reported the potential cardioprotective effects of fermented milks (FM). The aim of the present study was to evaluate the inhibitory activities of angiotensin converting enzyme (ACE), thrombin enzyme (TI) and micellar solubility of cholesterol of FM after 24 and 48 h of fermentation with Limosilactobacillus fermentum (J20, J23, J28 and J38), Lactiplantibacillus plantarum (J25) or Lactiplantibacillus pentosus (J34 and J37) exposed to simulated gastrointestinal digestion. Results showed that FM with J20 and J23 at 48 h of fermentation presented significantly ( p < 0.05) higher degree of hydrolysis than other FM, and were not significantly different ( p > 0.05) between them. Conversely, peptide relative abundance was significantly ( p < 0.05) higher in FM with J20 than FM with J23. Moreover, IC 50 (protein concentration necessary to inhibit enzyme activity by 50%) for ACE inhibition were 0.33 and 0.5 mg/mL for FM with J20 and J23, respectively. For TI inhibition, the IC 50 were 0.3 and 0.24 mg/mL for FM with J20 and J23, respectively. Results exhibited 51 and 74% inhibition of micellar solubility cholesterol for FM with J20 and J23, respectively. Therefore, these results showed that not only peptide abundance, but also specific peptides might be responsible for these potential cardioprotective effects.

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“…healthtech.dtu.dk/service.php?AnOxPePred-1.0). The webserver uses deep learning method for prediction of free radical scavenging (FRS) and metal chelating properties of peptides (Olsen et al, 2020). For the present study, the feature "Proteolysis mode" of the server was applied to divulge all the possible antioxidant peptides (length 2-20 amino acids) generated after hydrolysis of the parent protein using a combination of proteases (pepsin, trypsin, chymotrypsin).…”

Section: Antioxidant Peptides Predictionmentioning

confidence: 99%

“…Thus, combination of antioxidant and ACE inhibitory effects of bioactive peptides in a single product may play significant role in preventing cardiovascular diseases. In recent years, online tools such as BIOPEP-UMM and AnOxPePred have been used to predict bioactivity of peptides following enzymatic hydrolysis of proteins with known amino acid sequences (Minkiewicz et al, 2008;Olsen et al, 2020). Utilizing in silico approach is time-saving, economical, enables investigations to be more focused and provides theoretical assistance for further studies.…”

Section: Introductionmentioning

confidence: 99%

Prediction of ACE‐inhibitory and antioxidant peptides from storage proteins of edible seeds and nuts using in silico approaches

Deka

Saikia

2023

Sustainable Food Proteins

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Recently, plant protein‐derived peptides with diverse bioactivities have gained special attention with regards to health promoting and disease prevention. Among the different plant sources, edible seeds and nuts are known to contribute essential nutritional needs and promote several health benefits. Storage proteins of edible seeds and nuts are known to fulfill the essential nutritional needs and impart several health promoting benefits. In the present study, we attempt to use in silico approaches to divulge storage proteins derived peptides with angiotensin I‐converting enzyme (ACE)‐inhibition and antioxidant properties. In silico hydrolysis of 10 storage proteins using 8 proteases released multiple peptides exhibiting numerous bioactivities. The storage proteins majorly released ACE inhibitory peptides which were subjected for further evaluation (BIOPEP, PeptideRanker, ToxinPred, AllerTOP, and Pepsite2). A total of 25 peptides were considered potential ACE‐inhibitory peptides. Additionally, AnOxPePred webserver was used to evaluate the potential of storage proteins as precursors of antioxidant peptides. As evident from docking analysis (HPEPDOCK), peptides PGCR, GFEWIAFK, GFFYR, and HFR displayed significant interaction with key residues of Kelch‐like ECH‐associated protein 1, a modulator of intracellular oxidant status. Non‐toxic peptide PGCR exhibited both antioxidant and antihypertensive activities and was found to be the most promising peptide. This study opened new avenue for storage proteins of edible seeds and nuts as ingredients in development of nutraceutical formulations.

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Conventional and in silico approaches to select promising food-derived bioactive peptides: A review

Cited by 26 publications

References 122 publications

Identification of umami peptides based on virtual screening and molecular docking from Atlantic cod (Gadus morhua)

Identification of umami peptides based on virtual screening and molecular docking from Atlantic cod (Gadus morhua)

Fermented milks with specific Lactobacillus spp. with potential cardioprotective effects

Prediction of ACE‐inhibitory and antioxidant peptides from storage proteins of edible seeds and nuts using in silico approaches

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