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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Paul, Atish Tulshiram | - |
| dc.date.accessioned | 2025-11-06T10:17:06Z | - |
| dc.date.available | 2025-11-06T10:17:06Z | - |
| dc.date.issued | 2024-12 | - |
| dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S1476927124002408 | - |
| dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/19971 | - |
| dc.description.abstract | The prevalence of obesity is rapidly increasing worldwide. Brown adipose tissue activates uncoupling protein 1 (UCP1) to generate heat through bypassing ATP synthesis, offering a potential target for obesity treatment. Targeting UCP1 activation to induce thermogenesis through small molecules presents a promising approach for obesity management. In this study, molecular docking of UCP1 activators, using 2,4-dinitrophenol (DNP) as a reference ligand (PDB ID: 8J1N, docking score: −5.343 kcal/mol), identified seven top-scoring compounds: naringin (-7.284 kcal/mol), quercetin (-6.661 kcal/mol), salsalate (-6.017 kcal/mol), rhein (-5.798 kcal/mol), mirabegron (-5.535 kcal/mol), curcumin (-5.479 kcal/mol), and formoterol (-5.451 kcal/mol). Prime MM-GBSA calculation of the top-scored molecule (i.e., naringin) in the docking study showed ΔGBind of −70.48 kcal/mol. Key interactions of these top 7 activators with UCP1 binding pocket residues Trp280, Arg276, Glu190, Arg83, and Arg91 were observed. Molecular dynamics simulations performed for 100 ns confirmed complex stability, with RMSD values below 6 Å. Additionally, most activators showed favorable intestinal absorption (>90 %) and lipophilicity (LogP 2–4), with pKa values supporting their pharmacological potential as UCP1-targeting therapeutics for obesity. These findings provide a foundation for designing potent UCP1 activators by integrating docking scores, interaction profiles, statistical profiles from MD simulations, and physicochemical assessments to develop effective anti-obesity therapies. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier | en_US |
| dc.subject | Pharmacy Department | en_US |
| dc.subject | ADMET | en_US |
| dc.subject | In silico | en_US |
| dc.subject | Molecular docking | en_US |
| dc.subject | Obesity | en_US |
| dc.title | Computational insights into human UCP1 activators through molecular docking, MM-GBSA, and molecular dynamics simulation studies | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Department of Pharmacy | |
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