自动停靠
药理学
五肽重复序列
MAPK/ERK通路
计算生物学
化学
抑制性突触后电位
药品
2型糖尿病
生物信息学
对接(动物)
药物发现
生物
二肽基肽酶-4
系统生物学
钥匙(锁)
酶
生物信息学
作者
Yi He,Yan Zhang,Pengying Zhang,Jiaying Li,Wannan Li,Weiwei Han
标识
DOI:10.1038/s41538-025-00584-8
摘要
Type 2 diabetes mellitus (T2DM) poses a significant global health burden, with dipeptidyl peptidase-IV (DPP-IV) inhibitors being critical therapeutic targets for its management. Malt, a natural medicinal food, shows promise for T2DM treatment, yet its active compounds need further exploration. This study integrates molecular docking (Libdock, Autodock Vina), deep learning models (ConPlex, KPGT), molecular dynamics (MD) simulations, and network pharmacology to identify and validate DPP-IV inhibitors from malt. The pentapeptide YPQPQ, derived from malt hordein, exhibited potent DPP-IV inhibition (IC50: 23.87 μM) in vitro. Network pharmacology identified MAPK1 and MAPK3 (ERK1 and ERK2) as key targets, with YPQPQ significantly reducing ERK phosphorylation. Molecular dynamics (MD) simulations revealed YPQPQ's binding similarity to Diprotin A. These findings establish YPQPQ as a novel natural DPP-IV inhibitor, modulating the ERK signaling pathway, offering potential for T2DM therapy.
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