Exploring the antidiabetic potential of Salvia officinalis using network pharmacology, molecular docking and ADME/drug-likeness predictions
Ononamadu, Chimaobi J. and Seidel, Veronique (2024) Exploring the antidiabetic potential of Salvia officinalis using network pharmacology, molecular docking and ADME/drug-likeness predictions. Plants, 13 (20). 2892. ISSN 2223-7747 (https://doi.org/10.3390/plants13202892)
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Abstract
A combination of network pharmacology, molecular docking and ADME/drug-likeness predictions was employed to explore the potential of Salvia officinalis compounds to interact with key targets involved in the pathogenesis of T2DM. These were predicted using the SwissTargetPrediction, Similarity Ensemble Approach and BindingDB databases. Networks were constructed using the STRING online tool and Cytoscape (v.3.9.1) software. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways analysis and molecular docking were performed using DAVID, SHINEGO 0.77 and MOE suite, respectively. ADME/drug-likeness parameters were computed using SwissADME and Molsoft L.L.C. The top-ranking targets were CTNNB1, JUN, ESR1, RELA, NR3C1, CREB1, PPARG, PTGS2, CYP3A4, MMP9, UGT2B7, CYP2C19, SLCO1B1, AR, CYP19A1, PARP1, CYP1A2, CYP1B1, HSD17B1, and GSK3B. Apigenin, caffeic acid, oleanolic acid, rosmarinic acid, hispidulin, and salvianolic acid B showed the highest degree of connections in the compound-target network. Gene enrichment analysis identified pathways involved in insulin resistance, adherens junctions, metabolic processes, IL-17, TNF-α, cAMP, relaxin, and AGE-RAGE in diabetic complications. Rosmarinic acid, caffeic acid, and salvianolic acid B showed the most promising interactions with PTGS2, DPP4, AMY1A, PTB1B, PPARG, GSK3B and RELA. Overall, this study enhances understanding of the antidiabetic activity of S. officinalis and provides further insights for future drug discovery purposes.
ORCID iDs
Ononamadu, Chimaobi J. and Seidel, Veronique ORCID: https://orcid.org/0000-0003-3880-5261;-
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Item type: Article ID code: 90873 Dates: DateEvent16 October 2024Published6 October 2024AcceptedSubjects: Medicine > Pharmacy and materia medica
Science > Natural history > Genetics
Science > BotanyDepartment: Faculty of Science > Strathclyde Institute of Pharmacy and Biomedical Sciences Depositing user: Pure Administrator Date deposited: 16 Oct 2024 15:49 Last modified: 11 Nov 2024 14:28 URI: https://strathprints.strath.ac.uk/id/eprint/90873