A Machine Learning-Based Strategy for Screening Bioactive Compounds in Natural Products: A Case Study on Hypericum perforatum L.

Key Points

• The machine learning-based strategy effectively identifies bioactive compounds in Hypericum perforatum, enhancing screening processes.
• This approach integrates diverse components of natural products, demonstrating a novel method for identifying quality markers.
• Utilizing machine learning to screen compounds may streamline research in natural product pharmacology and medicinal plant studies.
• The findings support the potential for advanced computational methods to improve the identification of bioactive substances in herbal medicine.