COMPUTATIONAL EVALUATION OF NEEM-DERIVED COMPOUNDS AS FTO INHIBITORS FOR METABOLIC DISORDER THERAPY
Selvaraj, Sathyapriya and Chaitanya, Sree Somala and Mohamed, Adil and Nagaraj, Bharathkumar and Renganathan, Senthil and Konda Mani, Saravanan and Thirunavukarasou, Anand (2026) COMPUTATIONAL EVALUATION OF NEEM-DERIVED COMPOUNDS AS FTO INHIBITORS FOR METABOLIC DISORDER THERAPY. Letters in Applied NanoBioScience. ISSN 2284-6808 (In Press)
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Abstract
The study of fat mass and obesity-associated (FTO) enzymes holds promise for managing metabolic disorders and preventing cancer growth. Neem-derived compounds have shown potential as natural inhibitors of FTO. This study aimed to evaluate the effectiveness of neem-derived chemicals as
FTO inhibitors by analyzing their electronic properties, drug-like characteristics, and molecular
interactions. Molecular docking simulations were performed to assess the binding affinity of neem-
derived compounds with FTO. Drug-likeness was evaluated using Lipinski’s rule of five, and electronic
properties were analyzed using HOMO-LUMO energy gaps. Quercetin exhibited the strongest binding
affinity (-7.80 kcal/mol) and the most thermodynamically stable binding free energy (-45.749 kcal/mol)
due to stabilizing interactions with active site residues HIS320, ARG316, LEU203, and SER229.
Nimbidol (-7.70 kcal/mol), Nimbidin (-7.50 kcal/mol), and Gedunin (-7.40 kcal/mol) also demonstrated
inhibitory potential. Drug-likeness assessments showed that all compounds, except Azadirachtin, met
pharmacokinetic suitability criteria. The significant HOMO-LUMO energy gap in quercetin indicated
high molecular stability, reinforcing its potential as a promising drug-like molecule. Neem-derived
compounds, especially quercetin, may act as FTO inhibitors and could be developed into plant-based
treatments for metabolic disorders, though further biological testing is needed.
| Item Type: | Article |
|---|---|
| Subjects: | Bioinformatics > Bioinformatics Bioinformatics > Microbiology and Biotechnology Bioinformatics > Gene Therapy |
| Domains: | Bioinformatics |
| Depositing User: | Mr IR Admin |
| Date Deposited: | 13 May 2026 06:48 |
| Last Modified: | 16 May 2026 08:24 |
| URI: | https://ir.vistas.ac.in/id/eprint/19366 |

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