#Bioactive Metabolite Target Prediction

Modern Pharmacognosy Meets Artificial Intelligence: Machine Learning in Phytochemical Scaffold Discovery & Receptor Docking

An in-depth analysis of next-generation computational pharmacognosy: deep learning neural networks, molecular dynamics docking, in silico target prediction, and rapid isolation of botanical bioactive scaffolds.