Evidence map›Paper›PMID 40274944›Full record

ArticleScientific reports2025

Computational analysis of zoanthamine alkaloids from Zoanthus sp. as potential DKK1 and GSK-3β inhibitors for osteoporosis therapy via Wnt signaling.

Ngoc-Thac Pham, Huong-Giang Le, Bo-Rong Peng, Lo-Yun Chen, Mohamed El-Shazly, Jui-Hsin Su, Mei-Hsien Lee, Kuei-Hung Lai

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Ngoc-Thac PhamPhD Program in Clinical Drug Development of Herbal Medicine, College of Pharmacy, Taipei Medical University, Taipei, 110301, Taiwan.
Huong-Giang LePhD Program in Clinical Drug Development of Herbal Medicine, College of Pharmacy, Taipei Medical University, Taipei, 110301, Taiwan.
Bo-Rong PengGraduate Institute of Pharmacognosy, College of Pharmacy, Taipei Medical University, Taipei, 110301, Taiwan.
Lo-Yun ChenPhD Program in Clinical Drug Development of Herbal Medicine, College of Pharmacy, Taipei Medical University, Taipei, 110301, Taiwan.
Mohamed El-ShazlyDepartment of Pharmacognosy, Faculty of Pharmacy, Ain-Shams University, Organization of African Unity Street, Abassia, Cairo, 11566, Egypt.
Jui-Hsin SuNational Museum of Marine Biology and Aquarium, Pingtung, 944401, Taiwan.
Mei-Hsien LeePhD Program in Clinical Drug Development of Herbal Medicine, College of Pharmacy, Taipei Medical University, Taipei, 110301, Taiwan.
Kuei-Hung LaiPhD Program in Clinical Drug Development of Herbal Medicine, College of Pharmacy, Taipei Medical University, Taipei, 110301, Taiwan. kueihunglai@tmu.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marine invertebrates are a rich source of structurally diverse secondary metabolites with broad biological activities, making them valuable for drug discovery. The genus Zoanthus is particularly noteworthy, producing numerous bioactive alkaloids, including the zoanthamines, which show promise in treating osteoporosis. Osteoporosis, a debilitating bone disease characterized by reduced bone mineral density and increased fracture risk, is linked to Wnt signaling pathway dysregulation. This highly conserved pathway maintains tissue homeostasis and is crucial for neurogenesis, synapse formation, and bone development. Dickkopf-1 (DKK1) and glycogen synthase kinase-3β (GSK-3β), key Wnt pathway regulators, are established therapeutic targets for osteoporosis. This study employed an integrated computational approach-combining molecular docking, extensive molecular dynamics (MD) simulations, and density functional theory (DFT) calculations-to assess the inhibitory potential of 69 zoanthamine-type alkaloids against DKK1 and GSK-3β. MD simulations, analyzing root mean square deviation (RMSD), root mean square fluctuation (RMSF), radius of gyration, and free energy landscape, provided insights into protein-ligand complex stability and key interactions. Binding free energies were calculated using the MM-PBSA method combined with interaction entropy. DFT calculations further elucidated the electronic structure and reactivity of the most promising inhibitors (3α-hydroxyzoanthenamine, epioxyzoanthamine, 7α-hydroxykuroshine E, and norzoanthamine), which exhibited favorable binding interactions with key residues in target proteins. This integrative approach demonstrates the power of computational methods in drug discovery, highlighting the potential of zoanthamine alkaloids as lead compounds for innovative osteoporosis therapies.

Indexed as

AlkaloidsGlycogen Synthase Kinase 3 betaIntercellular Signaling Peptides and ProteinsOsteoporosisWnt Signaling PathwayAnimalsHumansMolecular Docking SimulationMolecular Dynamics SimulationAlkaloidsDKK1 protein, humanGlycogen Synthase Kinase 3 betaIntercellular Signaling Peptides and ProteinsDFTDKK1DockingGSK-3βMolecular dynamicsOsteoporosis

Identifiers

PMID40274944
PMCPMC12022124

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