COMPUTATIONAL EVALUATION OF NEEM-DERIVED COMPOUNDS AS FTO INHIBITORS FOR METABOLIC DISORDER THERAPY
Sathyapriya, S and Sree Somala, C and Adil, M and Bharathkumar, N and Senthil, R and Saravanan, K M and Anand, T (2026) COMPUTATIONAL EVALUATION OF NEEM-DERIVED COMPOUNDS AS FTO INHIBITORS FOR METABOLIC DISORDER THERAPY. Letters in Applied NanoBioScience, 15 (2). ISSN 2284-6808
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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: | IR Admin |
| Date Deposited: | 13 May 2026 06:48 |
| Last Modified: | 28 Aug 2026 07:48 |
| URI: | https://ir.vistas.ac.in/id/eprint/19366 |
