Journal of agricultural and food chemistry · 2026
ACE Inhibitory Peptide Tailored Preparation, Screening, and Interaction Mechanism via Computer-Assisted Experimental Studies.
СтатьяОценочное исследованиеНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Yang Xia, Ge Cheng, Lu Lu, Fan Yan, Zhang Jiangjiang, Zhang Hongwei, Yu Rilei, Ahmad Khurshid, Hou Hu
Аннотация
Conventional ACE-inhibitory peptide production methods suffer from low yield, suboptimal activity, and extensive optimization. This study introduces DeepAngio, a novel model to address these limitations and enable targeted release. DeepAngio demonstrates high performance in screening (98.80% accuracy, 99.63% precision, and 96.44% specificity) and classification (88.24% accuracy, 86.76% precision, and 95.16% specificity) validated through 10-fold cross-validation. Moreover, DeepAngio facilitated the development of a method for directional preparation of tuna meat hydrolysates with notable ACE inhibitory activity (IC50, 31.27 ± 0.72 μg/mL). Three novel potent ACE inhibitory peptides were screened from the hydrolysate: LLRP (IC50, 3.44 ± 0.19 μM), LHWPR (IC50, 17.67 ± 1.53 μM), and RFLR (IC50, 42.52 ± 7.50 μM). The peptides inhibited ACE activity via mixed-competitive (LLRP and RFLR) or competitive (LHWPR) mechanisms, forming stable complexes. Spectroscopic and molecular docking analyses revealed distinct binding modes for each peptide.