Biotech Today: An International Journal of Biological Sciences
  • Year: 2016
  • Volume: 6
  • Issue: 2

Prediction Of Potentially Bioactive Peptides Obtained From13s Globulin Seed Storage Protein Of Foxtail Millet Using In Silico Approach

  • Author:
  • Rakhi Yadav, Shalani Gupta1,, Pankaj Chauhan2, R.S. Sengar3, S.K. Bhatnagar2, Anil Sirohi1
  • Total Page Count: 6
  • Page Number: 75 to 80

1Department of Molecular Biology and Genetic Engineering, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut-250 110, U.P, India

2Department of Ag. Biotechnology, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut-250 110, U.P, India

3Department of Cell Biology, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut-250 110, U.P, India

*E-mail: sgupta_mbge@yahoo.com

Online published on 27 July, 2017.

Abstract

Biologically active peptides (BAPs) are foodderived peptides that are capable of regulating body functions, and these properties are used in the production of functional foods. Bioactive peptides within original food-derived proteins are inactive but can be activated by enzymatic hydrolysis during gastrointestinal digestion. On the other hand, many of these endogenous proteins are digested in the gastrointestinal tract but the possibility that these are also a source of bioactive peptides has not been considered. Hence, the utilization of computational tools as screening method may be helpful in predicting the potential of food proteins as precursors of cryptic bioactive peptides. An in silico prediction method was used to test if bioactive peptides could be derived from the gastrointestinal digestion of 13S globulin protein of foxtail millet proteins. Bioactive peptide sequences present in primary sequence of 13S globulin protein were identified and an analysis of bioavailability of obtained bioactive peptides (BAPs) of foxtail millet was performed through simulated enzymatic proteolysis approach.

Keywords

Bioactive Peptides, Globulin, Millet, Protein, in silico