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In Silico Analysis of Protein of Milk, Soybean, and Kefir as Anti-Thrombotic Bioactive Peptide

  • Muhammad Ilham Fahri
  • , Fadilla Sherlyna
  • , Mochamad Nurcholis*
  • *Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

Currently, Cardiovascular Diseases (CVDs) cases are increasing significantly in Indonesia and the world. WHO reported that in 2019-related CVD patients accounted for 85%, which increased to 87% in 2021. The cases increased significantly by 2%, which is a significant number as it covered the world population. Stroke is a disease affected by platelets undergoing thrombolysis by the α-thrombin (IIa) receptor with coagulation factors on the heart blood vessel. Chemical or synthesis drugs to treat thrombolytics such as heparin are already available, but they would be harmful if misused. In this study, we focused on the activity, interaction, and prediction of the physicochemical of anti-thrombotic peptides. We found that k-casein from kefir has the highest activity of 0.037 A based on BIOPEP analysis with 17 peptide libraries and molecular docking visualization analysis using PyMol, PyRx, and Discovery Studio for screening the best peptide. ToxinPred and AlgPred showed there are no potentially harmful peptides, but the protein variant of β-conglycinin subunit can be an allergen known to the immune system IgE. In conclusion, the GPR peptide has the highest binding affinity, with a total energy of-6.8 kcal/mol.

Original languageEnglish
Pages (from-to)216-223
Number of pages8
JournalHAYATI Journal of Biosciences
Volume30
Issue number2
DOIs
Publication statusPublished - Mar 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Anti-thrombotic peptide
  • Bioinformatics
  • Food-derived bioactive peptide
  • In silico
  • Molecular Docking

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