{"title":"Amentoflavone from Selaginella bryopteris leaf extracts modulate MAPK signaling - Molecular modeling study for therapeutic target analysis","authors":"Praveen Mallari , Mashooq Ahmad Bhat","doi":"10.1016/j.phyplu.2025.100759","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div><em>Selaginella bryopteris (L.)</em> is a pteridophytic herbaceous moss plant that grows in the wilderness and possesses phytochemicals that may exhibit therapeutic properties by altering some metabolic processes in the human body.</div></div><div><h3>Purpose</h3><div>The goal was to forecast human protein targets of phytochemical compounds from <em>Selaginella bryopteris (L.)</em> and to understand their behaviors.</div></div><div><h3>Study design</h3><div>The current research study has chosen to employ computational studies.</div></div><div><h3>Methods</h3><div>The PubChem identifiers of the <em>Selaginella bryopteris (L.)</em> compounds were translated into the SMILES notations and used to query the PASS database to predict human targets. Interaction networks were built for the corresponding proteins, molecular docking, molecular dynamics, and molecular mechanics. Poisson–Boltzmann surface area (MMPBSA) binding free energy calculations were performed.</div></div><div><h3>Results</h3><div>Finally, 61 possible human protein targets were established. The network of 56 proteins indicated that MAPK1, MAPK3 and MAPK14 are potential therapeutic targets with 18, 9 and 57 interacting nodes, respectively. The docking analysis calculated the binding energies to be -9.9, -10.3 and -10.2 Kcal/mol with MAPK1, MAPK3 and MAPK14, respectively. The MMPBSA analysis suggested that the binding conformations were well preserved up to 100 ns.</div></div><div><h3>Conclusion</h3><div>According to computational analysis, the compounds demonstrated anti-inflammatory, anti-proliferative, and pro-apoptotic effects by binding to the MAPK proteins. Subsequent research aims to characterize individual bioactive phytochemicals and their mode of action for possible pharmacological application.</div></div>","PeriodicalId":34599,"journal":{"name":"Phytomedicine Plus","volume":"5 2","pages":"Article 100759"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Phytomedicine Plus","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667031325000326","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Pharmacology, Toxicology and Pharmaceutics","Score":null,"Total":0}
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Abstract
Background
Selaginella bryopteris (L.) is a pteridophytic herbaceous moss plant that grows in the wilderness and possesses phytochemicals that may exhibit therapeutic properties by altering some metabolic processes in the human body.
Purpose
The goal was to forecast human protein targets of phytochemical compounds from Selaginella bryopteris (L.) and to understand their behaviors.
Study design
The current research study has chosen to employ computational studies.
Methods
The PubChem identifiers of the Selaginella bryopteris (L.) compounds were translated into the SMILES notations and used to query the PASS database to predict human targets. Interaction networks were built for the corresponding proteins, molecular docking, molecular dynamics, and molecular mechanics. Poisson–Boltzmann surface area (MMPBSA) binding free energy calculations were performed.
Results
Finally, 61 possible human protein targets were established. The network of 56 proteins indicated that MAPK1, MAPK3 and MAPK14 are potential therapeutic targets with 18, 9 and 57 interacting nodes, respectively. The docking analysis calculated the binding energies to be -9.9, -10.3 and -10.2 Kcal/mol with MAPK1, MAPK3 and MAPK14, respectively. The MMPBSA analysis suggested that the binding conformations were well preserved up to 100 ns.
Conclusion
According to computational analysis, the compounds demonstrated anti-inflammatory, anti-proliferative, and pro-apoptotic effects by binding to the MAPK proteins. Subsequent research aims to characterize individual bioactive phytochemicals and their mode of action for possible pharmacological application.