Phytochemistry, Computational Tools, and Databases in Drug Discovery

<p>1. Phytochemistry, history and progress in drug discovery<br>2. Trends in modern-day drug discovery and development: a glance in the present millennium<br>3. Computational phytochemistry, databases and tools<br>4. Computational approaches in drug discovery from phytochemicals<br>5. Informatics and database for phytochemical drug discovery<br>6. In silico approaches in repurposing of bioactive natural products for drug discovery<br>7. Virtual screening of phytochemicals for drug discovery<br>8. Roles of metagenomics and metabolomics in computational drug discovery<br>9. Molecular docking and molecular dynamics in natural products-based drug discovery<br>10. Computational screening of phytochemicals for antibacterial drug discovery<br>11. Computational screening of phytochemicals for antiviral drug discovery<br>12. Computational screening of phytochemicals for antiparasitic drug discovery<br>13. Computational screening of phytochemicals for antidiabetic drug discovery<br>14. Computational screening of phytochemicals for anticancer drug discovery<br>15. Application of artificial intelligence and machine learning in natural products-based drug discovery<br>16. Roles of AI and machine learning approach in natural products-based drug discovery<br>17. Application of density functional theory (DFT) and response surface methodology (RSM) in drug discovery<br>18. Therapeutic potentials of medicinal plants and significance of computational tools in anticancer drug discovery</p>