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In Silico Strategies to Predict Anti-aging Features of Whey Peptides.
- Source :
-
Molecular biotechnology [Mol Biotechnol] 2024 Sep; Vol. 66 (9), pp. 2426-2440. Date of Electronic Publication: 2023 Sep 22. - Publication Year :
- 2024
-
Abstract
- We have analysed the in silico potential of bioactive peptides from cheese whey, the most relevant by-product from the dairy industry, to bind into the active site of collagenase and elastase. The peptides generated from the hydrolysis of bovine β-lactoglobulin with three proteases (trypsin, chymotrypsin, and subtilisin) were docked onto collagenase and elastase by molecular docking. The interaction models were ranked according to their free binding energy using molecular dynamics simulations, which showed that most complexes presented favourable interactions. Interactions with elastase had significantly lower binding energies than those with collagenase. Regarding the interaction site, it was found that four bioactive peptides were positioned in collagenase's active site, while six were found in elastase's active site. Among these, the most we have found one promising collagen-binding peptide produced by chymotrypsin and two for elastase, produced by subtilisin and chymotrypsin. These in silico results can be used as a tool for designing further experiments aiming at testing the in vitro potential of the peptides found in this work.<br /> (© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
- Subjects :
- Animals
Cattle
Whey Proteins chemistry
Whey Proteins metabolism
Computer Simulation
Whey chemistry
Whey metabolism
Lactoglobulins chemistry
Lactoglobulins metabolism
Collagenases metabolism
Collagenases chemistry
Aging
Catalytic Domain
Chymotrypsin chemistry
Chymotrypsin metabolism
Protein Binding
Molecular Docking Simulation
Pancreatic Elastase metabolism
Pancreatic Elastase chemistry
Peptides chemistry
Peptides metabolism
Molecular Dynamics Simulation
Subjects
Details
- Language :
- English
- ISSN :
- 1559-0305
- Volume :
- 66
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- Molecular biotechnology
- Publication Type :
- Academic Journal
- Accession number :
- 37737930
- Full Text :
- https://doi.org/10.1007/s12033-023-00887-9