IJBTCS Conference Publications Section

Computational Analysis of Post-Translational Modifications in Diabetes: A Systems Biology and Structure-Based Drug Discovery Approach

Authors
  • Ahmed S Elfaki

    Biotechnology Department, Faculty of Science, Cairo University, Cairo, Egypt
    Author
  • Lobna Badr

    YS-G1004 Lab Department Of Cheminformatics EBO Bio Solution London United Kingdom
    Author
  • Abdelrahman Mohamed Youseff Mohamed

    Faculty of Science, Alexandria University, Alexandria, Egypt
    Author
  • Abdulrahman Ahmed Fathy Hgag

    Faculty of Biotechnology, Badr University, Alexandria, Egypt
    Author
  • Menna Ezzat Elezaby

    Biotechnology Department, Faculty of Science, Mansoura University, Mansourah, Egypt
    Author
  • Felopater Magdy Louka

    Biotechnology Department, Faculty of Science, October University for modern Science and Arts, October, Egypt
    Author
  • Imene Maallem

    Chemistry Department, Faculty of Science, University of Montpellier, Montpellier, France
    Author
  • Amany Sherif Mabrouk

    Biotechnology Department, Faculty of Agriculture, Cairo University, Cairo, Egypt
    Author
  • Abdalla Adel Abdelfattah Mahmoud

    YS-G1004 Lab Department Of Cheminformatics EBO Bio Solution London United Kingdom
    Author
  • Hussein Fayed

    Faculty of Pharmacy, Alexandria University, Alexandria, Egypt
    Author
  • Israa M Shamkh

    Chief Computational Chemistry Department EBO Bio Solution Company, London, EC1V2NX, United Kingdom
    Author
Keywords:
Diabetes Mellitus, Post-Translational Modifications, Molecular Docking, Molecular Dynamics Simulation, Virtual Screening, Systems Biology, Drug Discovery
Abstract

Abstract: Post-translational modifications (PTMs) regulate protein function, stability, and interaction networks, and are involved in the pathophysiology of diabetes mellitus through modulation of insulin signaling, β-cell function, and glucose metabolism. Aberrant PTMs contribute to insulin resistance, β-cell apoptosis, and metabolic dysregulation. This study applies a computational framework integrating molecular docking, molecular dynamics (MD) simulations, and virtual screening to investigate the structural and functional impact of PTMs on key diabetes-related proteins. Structural models incorporating phosphorylation, acetylation, ubiquitination, SUMOylation, and methylation were generated to assess conformational changes and ligand binding alterations. Proteins such as AKT2, IRS1, FoxO1, and PDX1 were prioritized based on their functional relevance and PTM profiles. Virtual screening of chemical libraries against PTM-modified protein structures, followed by MD simulations and free energy calculations, was conducted to identify small molecules capable of modulating PTM-influenced sites. Binding affinities, conformational stability, and drug-likeness parameters were analyzed to prioritize compounds for further investigation. The results provide a computational basis for targeting PTM-modified proteins in diabetes, supporting future experimental validation and development of PTM-focused therapeutic strategies.

Author Biographies
  1. Ahmed S Elfaki, Biotechnology Department, Faculty of Science, Cairo University, Cairo, Egypt

    Biotechnology Department, Faculty of Science, Cairo University, Cairo, Egypt

  2. Lobna Badr, YS-G1004 Lab Department Of Cheminformatics EBO Bio Solution London United Kingdom

    YS-G1004 Lab Department Of Cheminformatics EBO Bio Solution London United Kingdom

  3. Abdelrahman Mohamed Youseff Mohamed, Faculty of Science, Alexandria University, Alexandria, Egypt

    Faculty of Science, Alexandria University, Alexandria, Egypt

  4. Abdulrahman Ahmed Fathy Hgag, Faculty of Biotechnology, Badr University, Alexandria, Egypt

    Faculty of Biotechnology, Badr University, Alexandria, Egypt

  5. Menna Ezzat Elezaby, Biotechnology Department, Faculty of Science, Mansoura University, Mansourah, Egypt

    Biotechnology Department, Faculty of Science, Mansoura University, Mansourah, Egypt

  6. Felopater Magdy Louka, Biotechnology Department, Faculty of Science, October University for modern Science and Arts, October, Egypt

    Biotechnology Department, Faculty of Science, October University for modern Science and Arts, October, Egypt

  7. Imene Maallem, Chemistry Department, Faculty of Science, University of Montpellier, Montpellier, France

    Chemistry Department, Faculty of Science, University of Montpellier, Montpellier, France

  8. Amany Sherif Mabrouk, Biotechnology Department, Faculty of Agriculture, Cairo University, Cairo, Egypt

    Biotechnology Department, Faculty of Agriculture, Cairo University, Cairo, Egypt

  9. Abdalla Adel Abdelfattah Mahmoud, YS-G1004 Lab Department Of Cheminformatics EBO Bio Solution London United Kingdom

    YS-G1004 Lab Department Of Cheminformatics EBO Bio Solution London United Kingdom

  10. Hussein Fayed, Faculty of Pharmacy, Alexandria University, Alexandria, Egypt

    Faculty of Pharmacy, Alexandria University, Alexandria, Egypt

  11. Israa M Shamkh, Chief Computational Chemistry Department EBO Bio Solution Company, London, EC1V2NX, United Kingdom

    Chief Computational Chemistry Department EBO Bio Solution Company, London, EC1V2NX, United Kingdom

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Published
2025-07-21
Section
Conference Abstract
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Copyright (c) 2025 Ahmed S Elfaki, Hussein Fayed, Abdalla Adel Abdelfattah Mahmoud, Amany Sherif Mabrouk, Imene Maallem, Felopater Magdy Louka, Menna Ezzat Elezaby, Abdulrahman Ahmed Fathy Hgag, Abdelrahman Mohamed Youseff Mohamed, Lobna Badr, Israa M Shamkh (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Computational Analysis of Post-Translational Modifications in Diabetes: A Systems Biology and Structure-Based Drug Discovery Approach. (2025). IJBTCS- Conference Publications Section, 1(1). https://doi.org/10.63850/ijbtcs-cps.v1.i1.a11

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