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首页> 外文期刊>Letters in drug design & discovery >2D, 3D, G-QSAR and Docking Studies of Thiazolyl-pyrazoline Analogues as Potent (Epidermal Growth Factor Receptor-tyrosine Kinase) EGFR-TK Inhibitors
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2D, 3D, G-QSAR and Docking Studies of Thiazolyl-pyrazoline Analogues as Potent (Epidermal Growth Factor Receptor-tyrosine Kinase) EGFR-TK Inhibitors

机译:噻唑基 - 吡唑啉类似物作为有效(表皮生长因子受体 - 酪氨酸激酶)的2D,3D,G-QSAR和对接研究)EGFR-TK抑制剂

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Background: Cancer is becoming an increasingly important risk factor in the global burden of diseases. Cancer chemotherapy has been one of the major medical advances in the last few decades. However, the drugs used for this therapy have a narrow therapeutic index, and often the responses produced are only just palliative as well as unpredictable. In contrast, targeted therapy that has been introduced in recent years is directed against cancer-specific molecules and signaling pathways and thus has more limited nonspecific toxicities. This paper reviews about 2D, 3D QSAR and G-QSAR on a set of thiazolyl-pyrazole derivatives to identify novel and potent EGFR-TK inhibitors and elucidate structural properties required for anti-EGFR-TK activity. The 2D QSAR studies were carried out by multiple regression method and the r(2) and q(2) values were found to be 0.81 and 0.72 respectively. The 3D QSAR was performed using method k-nearest neighbour-molecular field analysis (kNN-MFA) with simulated annealing variable selection approach; a leave-one-out cross-validated correlation coefficient q2 = 0.87 and non-cross-validated correlation coefficient r2 = 0.93. G-QSAR was performed by generation of multiple models of the same training and test sets as used in 2D & 3D QSAR by multiple linear regressions. G-QSAR was carried out using template based fragmentation scheme and forward variable selection method. Docking analysis was performed further and is suggestive of binding affinity with standard compounds.
机译:背景:癌症正在成为全球疾病负担的危险因素越来越重要。癌症化疗是过去几十年的主要医疗进步之一。然而,用于这种治疗的药物具有狭窄的治疗指数,并且通常产生的反应只是姑息性和不可预测的。相比之下,近年来引入的靶向治疗旨在针对癌症特异性分子和信号通路,因此具有更有限的非特异性毒性。本文在一组噻唑基 - 吡唑衍生物上进行了大约2D,3D QSAR和G-QSAR,以鉴定新颖和有效的EGFR-TK抑制剂,并阐明抗EGFR-TK活性所需的结构性能。通过多元回归方法进行2D QSAR研究,发现R(2)和Q(2)值分别为0.81和0.72。使用具有模拟退火可变选择方法的方法K最近邻分子分析(KNN-MFA)进行3D QSAR;休假交叉验证相关系数Q2 = 0.87和非交叉验证的相关系数R2 = 0.93。 G-QSAR是通过通过多元线性回归产生2D和3D QSAR中使用的多种相同培训和测试集的多种模型来执行的。使用基于模板的碎片方案和转发变量选择方法进行G-QSAR。进一步进行对接分析,并提示与标准化合物结合的结合亲和力。

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