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Current Pharmaceutical Design

Editor-in-Chief

ISSN (Print): 1381-6128
ISSN (Online): 1873-4286

General Research Article

Prediction of Bioactive Peptides from Chicken Feather and Pig Hair Keratins using In Silico Analysis Based on Fragmentomic Approach

Author(s): Antoni Taraszkiewicz, Izabela Sinkiewicz, Agata Sommer, Małgorzata Dąbrowska and Hanna Staroszczyk*

Volume 28, Issue 10, 2022

Published on: 10 March, 2022

Page: [841 - 851] Pages: 11

DOI: 10.2174/1381612828999220114150201

Price: $65

Abstract

Background: Keratin is among the most abundant structural proteins of animal origin, however it remains broadly underutilized.

Objective: Bioinformatic investigation was performed to evaluate selected keratins originating from mass-produced waste products, i.e., chicken feathers and pig hair, as potential sources of bioactive peptides.

Methods: Pepsin, trypsin, chymotrypsin, papain, and subtilisin were used for in silico keratinolysis with the use of “Enzyme(s) action” and fragmentomic analysis of theoretical products was performed using “Profiles of potential biological activity” in BIOPEP-UWM database of bioactive peptides. Bioactivity probability calculation and toxicity prediction of the peptides obtained were estimated using PeptideRanker and ToxinPred tools, respectively.

Results: Our results showed that the keratins are a potential source of a variety of biopeptides, including dipeptidyl peptidase IV, angiotensin converting enzyme, prolyl endopeptidase inhibitory and antioxidative. Papain and subtilisin were found to be the most appropriate enzymes for keratin hydrolysis. This study presents possible structures of keratin-derived bioactive peptides that have not been previously described.

Conclusion: Our data suggest additional in vitro and in vivo studies to verify theoretical predictions and further investigate the possibility of using keratin-rich waste as a source of peptide nutraceuticals.

Keywords: Bioactive peptides, bioinformatics, chicken feather, in silico analysis, keratin, pig hair.

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