Exploring the Antidiabetic Potential of <i>Salvia officinalis</i> Using Network Pharmacology, Molecular Docking and ADME/Drug-Likeness Predictions.

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

SUBMITTER: Ononamadu CJ 

PROVIDER: S-EPMC11510882 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature