Phytochemistry, Computational Tools, and Databases in Drug Discovery

1. Phytochemistry, history and progress in drug discovery2. Trends in modern-day drug discovery and development: a glance in the present millennium3. Computational phytochemistry, databases and tools4. Computational approaches in drug discovery from phytochemicals5. Informatics and database for phytochemical drug discovery6. In silico approaches in repurposing of bioactive natural products for drug discovery7. Virtual screening of phytochemicals for drug discovery8. Roles of metagenomics and metabolomics in computational drug discovery9. Molecular docking and molecular dynamics in natural products-based drug discovery10. Computational screening of phytochemicals for antibacterial drug discovery11. Computational screening of phytochemicals for antiviral drug discovery12. Computational screening of phytochemicals for antiparasitic drug discovery13. Computational screening of phytochemicals for antidiabetic drug discovery14. Computational screening of phytochemicals for anticancer drug discovery15. Application of artificial intelligence and machine learning in natural products-based drug discovery16. Roles of AI and machine learning approach in natural products-based drug discovery17. Application of density functional theory (DFT) and response surface methodology (RSM) in drug discovery18. Therapeutic potentials of medicinal plants and significance of computational tools in anticancer drug discovery