Ginger (Zingiber officinale) has been widely utilized as a traditional medicinal plant for centuries, its contains 6-gingerol, a key bioactive metabolite reported evidence from many studies to modulates oxidative stress, improves insulin sensitivity, regulates glucose metabolism pathways, and reduces inflammatory signaling associated with kidney damage. However, the molecular mechanisms and therapeutic relevance of its multifunctional bioactivity remain insufficiently understood. This study aims to investigate the pharmacological potential of 6-gingerol as a dual-action therapeutic candidate for diabetes and renoprotection using computational modeling to predict target interactions and biological pathways, supporting its possible development from a traditional medicine into future evidence-based therapy.

The compound’s chemical structure and SMILES notation were first retrieved from the PubChem database. Biological activity prediction was then performed using PASS Online. Swiss Target Prediction was subsequently utilized to identify probable molecular targets based on structural similarity and binding likelihood and using the STRINGdb to construct a protein-protein interaction network and determine key signaling pathways associated with diabetes pathophysiology and renal protection.

The PASS prediction renal-related functions showed a moderate to high probability (mean PA = 0.568, PI=0.0488). Metabolic and antidiabetic activities also appeared meaningful (mean PA = 0.4827, PI=0.0903). STRING analysis revealed a well connected protein–protein interaction network among the predicted targets, with several high-confidence interactions (score >0.70). Key hub proteins identified in the network included mTOR, PPARG, GSK3B, PTPN1, JAK2 indicating their central regulatory roles. KEGG pathway annotation showed enrichment of mTOR signaling, PI3K-Akt signaling, insulin signaling, PPAR signaling, and JAK-STAT signaling.

These in silico findings indicate that the compound demonstrates meaningful potential for renal protection and metabolic regulation. The strong interaction network, key hub targets, and enrichment of insulin-related and inflammatory pathways support its relevance as a candidate anti-diabetics and renoprotection, warranting further experimental validation.