Identification of antidiabetic peptides derived from in silico hydrolysis of three ancient grains: Amaranth, Quinoa and Chia

Food Chem. 2022 Nov 15:394:133479. doi: 10.1016/j.foodchem.2022.133479. Epub 2022 Jun 14.

Abstract

The antidiabetic potential of bioactive peptides derived from simulated gastrointestinal digestion (SGID) of proteins present in amaranth quinoa and chia was evaluated using their bioactivity profile and theoretical interaction with DPP-IV and α-glucosidases. In silico SGID generated 52 different fragments with in vitro antidiabetic activity where fragments PW, PF, PPG, PM, SW, IW, SF, PP, PPL, PG, PY, VW and PL scored highly in bioactivity probability, with molecular weights ranging from 172.2 to 325.44 Da; positive bulkiness index and hydrophobicity (except PP and PY) and no toxic properties. Fragments IW and PW presented the lowest free energy values for enzymes DPP-IV, maltase-glucoamylase, pancreatic α-amylase and sucrase-isomaltase (-8.2, -7.5, -7.7 and -7.5 kcal/mol; and -7.8, -7.4, -8.2, -7.4 kcal/mol respectively) We can conclude that proteins from amaranth, quinoa and chia may be a good source of antidiabetic BP and may exert antidiabetic activity through the release of BP after digestion.

Keywords: Ancient grains; Bioactive peptides; DPP-IV; In silico analysis; α-Glucosidase.

MeSH terms

  • Chenopodium quinoa* / metabolism
  • Hydrolysis
  • Hypoglycemic Agents*
  • Peptides / chemistry
  • alpha-Glucosidases / metabolism

Substances

  • Hypoglycemic Agents
  • Peptides
  • alpha-Glucosidases