Computational Analysis of Post-Translational Modifications in Diabetes: A Systems Biology and Structure-Based Drug Discovery Approach
- Authors
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Ahmed S Elfaki
Biotechnology Department, Faculty of Science, Cairo University, Cairo, EgyptAuthor -
Lobna Badr
YS-G1004 Lab Department Of Cheminformatics EBO Bio Solution London United KingdomAuthor -
Abdelrahman Mohamed Youseff Mohamed
Faculty of Science, Alexandria University, Alexandria, EgyptAuthor -
Abdulrahman Ahmed Fathy Hgag
Faculty of Biotechnology, Badr University, Alexandria, EgyptAuthor -
Menna Ezzat Elezaby
Biotechnology Department, Faculty of Science, Mansoura University, Mansourah, EgyptAuthor -
Felopater Magdy Louka
Biotechnology Department, Faculty of Science, October University for modern Science and Arts, October, EgyptAuthor -
Imene Maallem
Chemistry Department, Faculty of Science, University of Montpellier, Montpellier, FranceAuthor -
Amany Sherif Mabrouk
Biotechnology Department, Faculty of Agriculture, Cairo University, Cairo, EgyptAuthor -
Abdalla Adel Abdelfattah Mahmoud
YS-G1004 Lab Department Of Cheminformatics EBO Bio Solution London United KingdomAuthor -
Hussein Fayed
Faculty of Pharmacy, Alexandria University, Alexandria, EgyptAuthor -
Israa M Shamkh
Chief Computational Chemistry Department EBO Bio Solution Company, London, EC1V2NX, United KingdomAuthor
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- Keywords:
- Diabetes Mellitus, Post-Translational Modifications, Molecular Docking, Molecular Dynamics Simulation, Virtual Screening, Systems Biology, Drug Discovery
- Abstract
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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
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- Published
- 2025-07-21
- Conference Proceedings Volume
- Vol. 1 No. 1 (2025): International Conference on Computational Science in Biotechnology and Medicine
- 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)

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.
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