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Peer-reviewedCC BYFood Chemistry: X

Peptidomics-guided 3D structural-mechanistic investigation of bovine colostrum peptides reveals multi-targeted

4 affiliations
  1. 1Department of Biotechnology & Bioinformatics, School of Life Sciences, JSS Academy of Higher Education & Research (JSS AHER), Mysuru 570015, Karnataka, India
  2. 2Department of Biotechnology & Bioinformatics, School of Life Sciences, JSS Academy of Higher Education & Research (JSS AHER), Mysuru 570015, Karnataka, India; Corresponding author.
  3. 3Department of Pharmaceutical Chemistry, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Ooty, Nilgiris 643001, Tamil Nadu, India
  4. 4Department of Biotechnology, Adichunchanagiri School of Natural Sciences, Adichunchanagiri University, B.G. Nagara, Mandya, Karnataka 571448, India

Abstract

Multi-target inhibition of α-amylase, α-glucosidase, and human aldose reductase can significantly address postprandial hyperglycemia and subsequent diabetic complications, yet bovine colostrum peptides remain largely unscreened against these enzymes. Using a peptidomics-guided, integrated in silico and in vitro approach, we identified three lead peptides and highlighted Peptide P2 (GPAGPQGPR) as a common lead inhibitor, showing favorable predicted binding and interaction profiles relative to the reference inhibitors. A dedicated 3D-structural analysis, including residue mapping, RMSF profiles, hydrophobicity surfaces, and intramolecular contact networks, suggested that the glycine-proline-rich scaffold of P2 may support predicted conformational adaptability and interactions with multiple enzyme targets. These findings were supported by in vitro enzyme inhibition and kinetic analyses, which indicated that P2 was consistent with a competitive inhibition model, while radical scavenging analysis indicated its antioxidant potential. These findings establish bovine colostrum as a potential multi-target antidiabetic and antioxidant peptide source, and present a structure-informed, reproducible framework for food-derived peptide discovery.

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BibTeX
@article{patil2026peptidomicsguided,
  title = {{Peptidomics-guided 3D structural-mechanistic investigation of bovine colostrum peptides reveals multi-targeted}},
  author = {Shashank M. Patil and Ramith Ramu and Kalirajan Rajagopal and Vivek Hamse Kameshwar},
  journal = {Food Chemistry: X},
  year = {2026},
  month = oct,
  doi = {10.1016/j.fochx.2026.104454},
  url = {https://doi.org/10.1016/j.fochx.2026.104454},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Peptidomics-guided 3D structural-mechanistic investigation of bovine colostrum peptides reveals multi-targeted
AU  - Shashank M. Patil
AU  - Ramith Ramu
AU  - Kalirajan Rajagopal
AU  - Vivek Hamse Kameshwar
PY  - 2026
DA  - 2026/10/28
JO  - Food Chemistry: X
DO  - 10.1016/j.fochx.2026.104454
UR  - https://doi.org/10.1016/j.fochx.2026.104454
AB  - Multi-target inhibition of α-amylase, α-glucosidase, and human aldose reductase can significantly address postprandial hyperglycemia and subsequent diabetic complications, yet bovine colostrum peptides remain largely unscreened against these enzymes. Using a peptidomics-guided, integrated in silico and in vitro approach, we identified three lead peptides and highlighted Peptide P2 (GPAGPQGPR) as a common lead inhibitor, showing favorable predicted binding and interaction profiles relative to the reference inhibitors. A dedicated 3D-structural analysis, including residue mapping, RMSF profiles, hydrophobicity surfaces, and intramolecular contact networks, suggested that the glycine-proline-rich scaffold of P2 may support predicted conformational adaptability and interactions with multiple enzyme targets. These findings were supported by in vitro enzyme inhibition and kinetic analyses, which indicated that P2 was consistent with a competitive inhibition model, while radical scavenging analysis indicated its antioxidant potential. These findings establish bovine colostrum as a potential multi-target antidiabetic and antioxidant peptide source, and present a structure-informed, reproducible framework for food-derived peptide discovery.
SN  - 2590-1575
ER  -