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首页> 外文期刊>Medicinal chemistry >Receptor-based 3D-QSAR study for recognizing true binding mode of mercaptoacyldipeptides at the active site of neutral endopeptidase.
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Receptor-based 3D-QSAR study for recognizing true binding mode of mercaptoacyldipeptides at the active site of neutral endopeptidase.

机译:基于受体的3D-QSAR研究,用于识别巯基酰肽在中性内肽酶活性位点的真实结合方式。

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摘要

Among neutral endopeptidase (NEP) inhibitors, mercaptoacyldipeptides implicated in cardiovascular diseases, are of great interest. Two groups, Coric et al. and Oefner et al. described two different binding preferences for mercaptoacyldipeptides at the active site of NEP. By focusing on both, 3D-QSAR studies were performed on mercaptoacyldipeptides, based on conformational alignment obtained by GOLD 3.2, using CoMFA and CoMSIA techniques. Statistically significant 3D-QSAR models were obtained with q2 of 0.580 and 0.559, and r2 of 0.996 and 0.991, respectively. Both the models were validated by an external test set of nine compounds giving highly predictive r2(pred) of 0.929 and 0.928, respectively. The study will facilitate the rational design of more potent mercaptoacyldipeptides for the treatment of cardiovascular diseases.
机译:在中性内肽酶(NEP)抑制剂中,与心血管疾病有关的巯基肽肽引起了人们的极大兴趣。两组,Coric等。和Oefner等。在NEP的活性位点描述了巯基酰基肽的两种不同的结合偏好。通过同时关注这两个方面,使用CoMFA和CoMSIA技术,根据GOLD 3.2获得的构象比对,对巯基酰基肽进行了3D-QSAR研究。获得具有统计学意义的3D-QSAR模型,q2分别为0.580和0.559,r2分别为0.996和0.991。两种模型均通过9种化合物的外部测试集进行了验证,分别提供了0.929和0.928的高度预测r2(pred)。该研究将有助于设计更有效的巯基二肽用于治疗心血管疾病。

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