Shuaiqi Meng

Machine learning for precision prediction of antimicrobial peptide activity and spectrum.

How recent advances in machine learning are reshaping AMP research is examined, driving a shift from large-scale discovery toward precision-guided prediction and design and emphasizing integrated generative-predictive pipelines, interpretable models, and closed-loop experimental validation as key enablers for the development of potent, selective, and clinically viable antimicrobial therapeutics.