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定量设计新型 FLT3 抑制剂的结构要求。

Quantifying the structural requirements for designing newer FLT3 inhibitors.

机构信息

Biomedical Informatics Centre, Rajendra Memorial Research Institute of Medical Sciences, Agamkuan, Patna-800007, Bihar, India.

出版信息

Med Chem. 2012 Sep;8(5):913-27. doi: 10.2174/157340612802084153.

Abstract

RTKs - Receptor Tyrosine Kinases are the key regulators for cellular function and any abnormalities in the signaling of such leads to cancer. Mutations that result in the constitutive activation of this receptor result in Acute Myeloid Leukemia and Acute Lymphoblastic Leukemia. Pharmacophore mapping, a well-established method is used to build up 3D QSAR model from two classes of compounds viz. 2-acylaminothiophene-3-carboxamide derivatives and 4-amino-6-piperazin-1yl-pyrimidine-5-carbaldehyde oxime derivatives, which helps us to quantify the crucial structural requirements for designing newer potent inhibitors for FLT3. The derived model AADHR.939 (Pearson- R = 0.8912, q(2) = 0.7471 and non-cross-validated r(2) = 0.9154) shows that the ring feature is quite crucial for the FLT3 inhibitory activity. Moreover the model is showing 94% predicted activity, which makes an understanding that the model is capable of finding newer potent molecules from any database.

摘要

受体酪氨酸激酶(RTKs)是细胞功能的关键调节剂,此类信号的任何异常都可能导致癌症。导致该受体组成性激活的突变会导致急性髓系白血病和急性淋巴细胞白血病。药效团映射是一种成熟的方法,用于从两类化合物(即 2-酰氨基噻吩-3-甲酰胺衍生物和 4-氨基-6-哌嗪-1-基-嘧啶-5-甲酰亚胺肟衍生物)构建三维定量构效关系(3D-QSAR)模型,这有助于我们量化设计新型 FLT3 强效抑制剂的关键结构要求。所得模型 AADHR.939(皮尔逊 R = 0.8912,q² = 0.7471 和非交叉验证 r² = 0.9154)表明,环特征对于 FLT3 抑制活性非常重要。此外,该模型显示出 94%的预测活性,这表明该模型能够从任何数据库中找到新型强效分子。

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