详细信息
喹啉酮类小分子p53-MDM2结合抑制剂3D-QSAR研究 被引量:2
3D-QSAR Studies on Isoquinolinone Derivatives as Inhibitors of P53-MDM2 Binding
文献类型:期刊文献
中文题名:喹啉酮类小分子p53-MDM2结合抑制剂3D-QSAR研究
英文题名:3D-QSAR Studies on Isoquinolinone Derivatives as Inhibitors of P53-MDM2 Binding
作者:尤贤霞[1];周琴[1];胡雁[2];胡纯琦[1,2]
机构:[1]绍兴文理学院化学化工学院;[2]浙江大学-巴黎高等师范学院药物化学联合实验室,浙江大学药学院
年份:2013
卷号:30
期号:9
起止页码:963
中文期刊名:中国现代应用药学
外文期刊名:Chinese Journal of Modern Applied Pharmacy
收录:CSTPCD、、CSCD_E2013_2014、CSCD
基金:浙江省自然科学基金青年项目(LQ13H300001)
语种:中文
中文关键词:比较分子场法;比较分子相似性指数法;p53-MDM2;结合抑制剂;异喹啉酮
外文关键词:CoMFA;;CoMSIA;;p53-MDM2;;binding inhibitor;;isoquinolone
中文摘要:目的设计、合成高活性的小分子p53-MDM2结合抑制剂,建立具有预测能力的3D-QSAR模型。方法采用分子模拟软件Sybyl,利用比较分子场方法(CoMFA)、比较分子相似性指数法(CoMSIA),选择已报道的具有p53-MDM2结合抑制活性的一类有相同母核的21个异喹啉酮衍生物作为训练集,7个作为预测集进行3D-QSAR模型的建立和验证。结果模型具有较高q2(q2CoMFA=0.545,q2CoMSIA=0.528)和r2(r2CoMFA=0.984,r2CoMSIA=0.972)值,表明2组模型具有较高的拟和能力及预测能力。结论该模型具有较高的预测能力,为设计、合成高活性的小分子p53-MDM2结合抑制剂提供了理论依据。
外文摘要:OBJECTIVE To develop a predictable 3D-QSAR model for designing novel p53-MDM2 binding inhibitors.METHODS A series of isoquinolone derivatives inhibitors of p53-MDM2 binding were subjected to three-dimensional quantitative structureeactivity relationship(3D-QSAR) studies using the comparative molecular field analysis(CoMFA) and comparative molecular similarity indices analysis(CoMSIA) approaches.RESULTS The CoMFA model included steric and electrostatic fields for the training set with the cross validated q2 value of 0.545 and the non-cross-validated r2value of 0.984.The cross-validated q2 value of CoMSIA model was 0.528 and the non-cross-vaildated r2 value was 0.972.CONCLUSION Based on the inoformation obtained from the model,this model is predictable and therefor more derivatives will be designed for further studies.
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