Abstract
Over and undernutrition are generally perceived as lifestyle or diet related disorders. Apart from these external contributors, certain genes and proteins have been studied to plays a vital role in maintaining the metabolic state of an individual. One such gene is the fat mass and obesity-associated (FTO) protein- an m6A RNA demethylase, responsible for regulating energy homeostasis. This protein has been found to be strongly associated with obesity and related metabolic disorders. Targeting FTO with small-molecule inhibitors has shown promise as a therapeutic approach to manage obesity. The study employs a comprehensive computational strategy to identify bioactive peptides acting as potential natural inhibitors of the FTO protein derived from three millet species— finger millet (Eleusine coracana), pearl millet (Pennisetum glaucum), and foxtail millet (Setaria italica). Bioactive peptides were curated from published literature focusing on millet seed proteins. Their physicochemical properties were assessed using PepCalc to evaluate stability and solubility. Subsequently, three-dimensional structures of the peptides were predicted using the I-TASSER server to generate high-confidence models for docking. Molecular docking analyses were conducted using ClusPro to examine peptide-FTO binding affinities and interaction poses. The crystal structure of human FTO (retrieved from the Protein Data Bank) served as the docking target. Top-performing peptide-FTO complexes were further taken for molecular dynamics (MD) simulations to evaluate the dynamic behavior and stability of the interactions. Key parameters such as RMSD, RMSF, and hydrogen bond profiles were analyzed over the course of the simulations. Our results show that several millet-derived peptides bind strongly and stably to the FTO protein, with favorable docking scores and sustained hydrogen bonding at its active site. These findings highlight the potential of millet peptides as natural FTO inhibitors for developing functional foods or nutraceuticals to combat obesity.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 11th World Congress on Electrical Engineering and Computer Systems and Sciences, EECSS 2025 |
| Editors | Luigi Benedicenti, Zheng Liu |
| Publisher | Avestia Publishing |
| ISBN (Print) | 9781990800610 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 11th World Congress on Electrical Engineering and Computer Systems and Science, EECSS 2025 - Paris, France Duration: 17-08-2025 → 19-08-2025 |
Publication series
| Name | Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science |
|---|---|
| ISSN (Electronic) | 2369-811X |
Conference
| Conference | 11th World Congress on Electrical Engineering and Computer Systems and Science, EECSS 2025 |
|---|---|
| Country/Territory | France |
| City | Paris |
| Period | 17-08-25 → 19-08-25 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 2 Zero Hunger
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Information Systems
- Biomedical Engineering
- Human-Computer Interaction
- Computer Networks and Communications
- Artificial Intelligence
- Electrical and Electronic Engineering
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