Abstract
This perspective article discusses emerging trends in computational phytochemistry, including molecular docking, molecular dynamics simulations, and artificial intelligence-assisted drug discovery. The authors explore how these approaches can accelerate the identification of bioactive compounds from plant sources. Challenges related to data integration, reproducibility, and experimental validation are also addressed, providing guidance for future research directions.