Computational intelligence, in silico analysis  and pharmacological potential of bioactive compounds and targets

This book provides an overview of computational approaches used in contemporary pharmacological and biomedical research. It covers topics including molecular docking, ADMET prediction, molecular dynamics, machine learning, proteomics, database-driven drug design, quantum computing, and nanotechnology-based drug delivery systems. The chapters examine the pharmacological potential of natural and synthetic bioactive compounds and discuss their applications in areas such as Alzheimer's disease, cancer, and antimalarial drug discovery.