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Fragmentomic analysis of biopeptides in silico released from milk proteins

Abstract

The fragmentomic-assisted method was employed to predict the biological potential of peptides derived from milk proteins hydrolyzed by papain and bromelain. Firstly, protein sequences were acquired from the BIOPEP-UWM database and then hydrolyzed by the above enzymes using a BIOPEP-UWM tool called “Enzyme(s) action”. The released peptides were defined as parent peptides and further analyzed for the presence of shorter peptidic regions with documented bioactivity as well as their likelihood to be bioactive. The results revealed the bioactive potential of the released parent peptides. β-Casein was found as the best source of biopeptides. Although this finding is consistent with literature data, the new parent peptide i.e., PVQPFTESQSLTLTDVENLHLPPLLLQSWMHQPHQPLPPTVMFPPQSVLSLSQSK, produced by the action of bromelain might be considered as a new strategic zone due to the presence of multi-active regions. Some parent peptides theoretically produced from milk proteins turned out to be fully bioactive. Despite the usefulness of the tools for peptide bioactivity prediction, the critical thinking while planning the application of such data in future experiments would thus appear to be a worthwhile line of inquiry.

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DOI:
Digital Object Identifier (open in new tab) 10.31648/pjns.7726
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Category:
Articles
Type:
artykuły w czasopismach
Published in:
POLISH JOURNAL OF NATURAL SCIENCES no. 37, pages 125 - 147,
ISSN: 1643-9953
Language:
English
Publication year:
2022
Bibliographic description:
Iwaniak A., Taraszkiewicz A.: Fragmentomic analysis of biopeptides in silico released from milk proteins// POLISH JOURNAL OF NATURAL SCIENCES -Vol. 37,iss. 1 (2022), s.125-147
DOI:
Digital Object Identifier (open in new tab) 10.31648/pjns.7726
Sources of funding:
  • Projekt finansowany w ramach programu Ministra Edukacji i Nauki pod nazwą "Regionalna Inicjatywa Doskonałości" w latach 2019-2022, nr projektu 010/RID/2018/19, kwota finansowania 12 000 000 PLN
  • Projekt finansowany w ramach funduszu Uniwersytetu Warmińsko-Mazurskiego w Olsztynie, nr tematu 17.610.014-110
Verified by:
Gdańsk University of Technology

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