Unveiling potential phytocompounds for Gastrointestinal Tract Disorders through integrative network pharmacology and molecular docking approaches
Abstract
Abstract
Background. The global incidence of gastrointestinal tract (GIT) disorders is rising steadily, primarily attributed to shifts in dietary habits, sedentary lifestyles, and increased exposure to environmental stressors. Modern clinical medications offer immediate cures but can negatively affect the patient’s health, posing risks such as diabetes, cardiovascular issues, and damage to parts of the gastrointestinal system. History reveals the beneficial effects of herbal therapies, which utilize plants to treat various ailments with fewer side effects. The therapeutic effects of plants remain elusive; therefore, the current study aimed to identify potential phytochemicals and disease targets through network pharmacology, docking, and molecular dynamics simulations.
Methods. GIT-related targets were mined from databases and analyzed via Cytoscape and STRING to identify common nodes, followed by GO and KEGG enrichment analyses. Molecular docking and simulations were conducted to assess the potential of compounds targeting multiple disease-related proteins.
Results. An intersection analysis of disease-drug targets identified 65 targets corresponding to 121 active compounds, including core targets such as TP53, EGFR, CASP3, AKT, and IL6, which have higher degree values in the Cytoscape and PPI network. Docking analyses have identified the top ten active compounds: Withaferin, Hecogenin, Camptothecin, Friedelin, Epifriedelanol, Berberine, Gedunin, Solanidine, Cucurbitacins, and Terpine, based on their binding potential to targeted proteins. The Hecogenin exhibited the least binding energy with the EGFR (-9.9 kcal/mol), while Berberine showed a binding energy of -9.2 kcal/mol with CASP3. EGFR protein also displayed high binding affinities with Cucurbitacins (-9.6 kcal/mol) and Epifriedelanol (-9.4 kcal/mol). RMSD analysis showed that EGFR-Hecogenin exhibited ~3.0 Å for Cα atoms with an average ligand fit of ~6.0 Å, whereas CASP3-Berberine displayed ~1.3 Å for Cα and an average ligand fit of ~5.0 Å.
Conclusions. ADMET analysis also indicated better absorption, metabolism, and drug-likeness of these potential compounds, particularly Berberine and Hecogenin, which may lead to the development of drugs with minimal side effects for gastrointestinal therapies.