As compared with traditional structure–activity relationship research, the application of artificial intelligence algorithms to construct and optimize structure–activity relationship models improved the accuracy and efficiency of antihypertensive peptide predictions (Figure 3), which could facilitate the identifications of novel ACE inhibitory peptides and provide new options for the treatment of hypertension. The gene discussed is ACE; the disease is Hypertension.