Machine Learning-Driven Approaches for Identification of Natural Bioactive Peptides: Recent Advances, Challenges, and Future Perspectives
Natural bioactive peptides (NBAPs) have gained increasing prominence in functional food development due to their health-promoting properties. However, conventional experimental identification of NBAPs is often time-consuming and laborious, highlighting the need for efficient computational approaches. Machine learning (...