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首页> 外文期刊>Molecular informatics >Differential Virtual Screening (DVS) with Active and Inactive Molecular Models for Finding and Profiling GPCR Modulators: Case of the CCK1 Receptor
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Differential Virtual Screening (DVS) with Active and Inactive Molecular Models for Finding and Profiling GPCR Modulators: Case of the CCK1 Receptor

机译:具有主动和非主动分子模型的差分虚拟筛选(DVS),用于查找和分析GPCR调节剂:CCK1受体的情况

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摘要

We discovered a constitutively activating mutation (CAM) V308E for the neurotensin NT1 receptor. Molecular dynamics (MD) performed for the CAM NT1-V308E exhibiting a high spontaneous activity, and for the wild-type NT1 without basal activity, show dramatic conformational changes for the CAM. To test if the two MD models could be valuable active and inactive templates for building molecular models for other class-A GPCR, supposed active and inactive models were built by homology for the cholecysto-kinin CCK1 receptor. Virtual screening of a corporate library with 250000 compounds was performed with the two CCK1 models, and a differential virtual screening analysis (DVS), led us to isolate 250 predicted agonists and 250 predicted antagonists. The two sets were merged and the compounds were tested in CCK1 agonist and antagonist cellular assays. An excellent correlation was obtained between predictions and biological results. The effective profiling provided by DVS with active and inactive molecular models, opens new perspectives for finding agonists and antagonists for other class-A GPCR, notably for orphan GPCRs for which no ligands are known.
机译:我们发现神经降压素NT1受体的组成性激活突变(CAM)V308E。对具有高自发活性的CAM NT1-V308E和没有基础活性的野生型NT1进行的分子动力学(MD)显示了CAM的显着构象变化。为了测试这两个MD模型对于建立其他A类GPCR分子模型的主动和非主动模型是否有价值,通过胆囊激肽CCK1受体的同源性构建了假设的主动和非主动模型。使用两个CCK1模型对具有250000种化合物的公司文库进行了虚拟筛选,通过差分虚拟筛选分析(DVS),我们分离出250个预测的激动剂和250个预测的拮抗剂。将两组合并,并在CCK1激动剂和拮抗剂细胞试验中测试化合物。在预测和生物学结果之间获得了极好的相关性。 DVS提供的具有活性和非活性分子模型的有效概况分析,为寻找其他A类GPCR的激动剂和拮抗剂,特别是对于未知配体的孤儿GPCR,开辟了新的前景。

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