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刺猬信号通路抑制剂的研究:定量构效关系研究

Investigations on inhibitors of hedgehog signal pathway: a quantitative structure-activity relationship study.

作者信息

Zhu Ruixin, Liu Qi, Tang Jian, Li Huiliang, Cao Zhiwei

机构信息

Department of Bioinformatics, School of Life Sciences and Technology, Tongji University, 1239 Siping Road, Shanghai 200092, China; E-Mails:

出版信息

Int J Mol Sci. 2011;12(5):3018-33. doi: 10.3390/ijms12053018. Epub 2011 May 11.

Abstract

The hedgehog signal pathway is an essential agent in developmental patterning, wherein the local concentration of the Hedgehog morphogens directs cellular differentiation and expansion. Furthermore, the Hedgehog pathway has been implicated in tumor/stromal interaction and cancer stem cell. Nowadays searching novel inhibitors for Hedgehog Signal Pathway is drawing much more attention by biological, chemical and pharmological scientists. In our study, a solid computational model is proposed which incorporates various statistical analysis methods to perform a Quantitative Structure-Activity Relationship (QSAR) study on the inhibitors of Hedgehog signaling. The whole QSAR data contain 93 cyclopamine derivatives as well as their activities against four different cell lines (NCI-H446, BxPC-3, SW1990 and NCI-H157). Our extensive testing indicated that the binary classification model is a better choice for building the QSAR model of inhibitors of Hedgehog signaling compared with other statistical methods and the corresponding in silico analysis provides three possible ways to improve the activity of inhibitors by demethylation, methylation and hydroxylation at specific positions of the compound scaffold respectively. From these, demethylation is the best choice for inhibitor structure modifications. Our investigation also revealed that NCI-H466 served as the best cell line for testing the activities of inhibitors of Hedgehog signal pathway among others.

摘要

刺猬信号通路是发育模式形成中的一种重要因子,其中刺猬形态发生素的局部浓度指导细胞分化和增殖。此外,刺猬信号通路与肿瘤/基质相互作用及癌症干细胞有关。如今,寻找刺猬信号通路的新型抑制剂正受到生物、化学和药理学家越来越多的关注。在我们的研究中,提出了一个可靠的计算模型,该模型结合了各种统计分析方法,对刺猬信号通路抑制剂进行定量构效关系(QSAR)研究。整个QSAR数据包含93种环杷明衍生物及其对四种不同细胞系(NCI-H446、BxPC-3、SW1990和NCI-H157)的活性。我们广泛的测试表明,与其他统计方法相比,二元分类模型是构建刺猬信号通路抑制剂QSAR模型的更好选择,相应的计算机模拟分析分别提供了三种通过在化合物支架的特定位置进行去甲基化、甲基化和羟基化来提高抑制剂活性的可能方法。其中,去甲基化是抑制剂结构修饰的最佳选择。我们的研究还表明,在其他细胞系中,NCI-H466是测试刺猬信号通路抑制剂活性的最佳细胞系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3bf/3116172/43f5f04f0aad/ijms-12-03018f1.jpg

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