Investigation of alpha amylase inhibitors from Bidens pilosa L. by in silico and in vitro studies

• Published in: In silico pharmacology 2024-02, Vol.12 (1), p.9-9, Article 9
• Main Authors: Galagali, Akshay, Patil, Vishal S., Hiremath, Kashinath, Sampat, Ganesh H., Patil, Rajlaxmi, Virge, Rajashri, Harish, Darasaguppe R., Hedge, Harsha V., Roy, Subarna
• Format: Article
• Language: English
• Subjects: Amylases; Antidiabetics; Biomedical and Life Sciences; Biomedical Engineering and Bioengineering; Biomedicine; Cellular and Medical Topics; Computational Science and Engineering; Diabetes; Diabetes mellitus; Dynamic stability; Dynamic structural analysis; Herbal medicine; Medicinal Chemistry; Molecular docking; Molecular dynamics; Original Research; Pharmacology/Toxicology; Physiological; Structural stability
• ISSN: 2193-9616; 2193-9616
• DOI: 10.1007/s40203-023-00187-9

Bidens pilosa L. has been traditionally used as an anti-diabetic herbal medicine; however, its mechanism of action remains elusive. In this study, the potential role of B. pilosa compounds on alpha-amylase inhibition and regulation of multiple pathways was investigated via computational and experimental studies. The phytocompounds were retrieved from plant databases and published literature. The druggability profile of these compounds was predicted using MolSoft. The probable targets of these phytocompounds were predicted using BindingDB (similarity index ≥ 0.7). Further, compound-gene set-pathway and functional enrichment analysis were performed using STRING and KEGG pathway databases. The network between compound-protein-pathway was constructed using Cytoscape. Molecular docking was performed using AutoDock Vina, executed through the POAP pipeline. The stability of the best docked complex was subjected to all-atom molecular dynamics (MD) simulation for 100 ns to investigate their structural stabilities and intermolecular interactions using GROMACS software. Finally, B. pilosa hydroalcoholic extract was subjected to LC–MS and tested for dose- and time-dependent alpha-amylase inhibitory activity. Out of 31 bioactive compounds, 13 were predicted to modulate the human pancreatic alpha-amylase (AMY2A) and 12 pathways associated with diabetes mellitus. PI3K-Akt signaling pathway (hsa04151) scored the lowest false discovery rate by triggering 15 genes. Further intermolecular interaction analysis of the docked complex revealed that Brassidin had the highest active site interaction and lowest binding energy compared to standard acarbose, and MD reveals the formation of a stable complex throughout 100 ns production run. LC–MS analysis revealed the presence of 13 compounds (targeting AMY2A) in B. pilosa hydroalcoholic extract, which showed potent AMY2A inhibition by in vitro studies that corroborate in silico findings for its anti-diabetic activity. Based on these findings, enriched fractions/pure compounds inhibitory activity that can be performed in future for drug discovery.