Papers, explained in our own words

1. Computational drug discovery and nanoformulation of Ajmaline from Rauwolfia serpentina: Machine learning-assisted development of pH-responsive solid lipid nanoparticles for enhanced anticancer therapy

Alqahtani T, Alqahtani Am, Chidambaram K, Pradeep K, Murugesan V, Deshpande M, Et Al.

This work examines an exploratory screening and formulation workflow involving Rauwolfia serpentina alkaloids and Ajmaline-loaded solid lipid nanoparticles (SLNs). A Random Forest model was reported to reach 82.26% accuracy for ACE-associated activity classes and to classify 23 of 135 plant constituents as active…

• ACE inhibition
• Ajmaline
• Breast cancer
• Molecular docking
• Rauwolfia serpentina
• Solid lipid nanoparticles