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新型噻唑和恶唑衍生物作为强效果糖1,6 - 二磷酸酶抑制剂的结构要求的计算机模拟鉴定

In silico identification of structure requirement for novel thiazole and oxazole derivatives as potent fructose 1,6-bisphosphatase inhibitors.

作者信息

Hao Ming, Zhang Xiaole, Ren Hong, Li Yan, Zhang Shuwei, Luo Fang, Ji Mingjuan, Li Guohui, Yang Ling

机构信息

Department of Materials Science and Chemical Engineering, Dalian University of Technology, Dalian, Liaoning, 116023, China; E-Mails:

出版信息

Int J Mol Sci. 2011;12(11):8161-80. doi: 10.3390/ijms12118161. Epub 2011 Nov 18.

DOI:10.3390/ijms12118161
PMID:22174657
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3233463/
Abstract

Fructose 1,6-bisphosphatase (FBPase) has been identified as a drug discovery target for lowering glucose in type 2 diabetes mellitus. In this study, a large series of 105 FBPase inhibitors were studied using a combinational method by 3D-QSAR, molecular docking and molecular dynamics simulations for a further improvement in potency. The optimal 3D models exhibit high statistical significance of the results, especially for the CoMFA results with r(ncv) (2), q(2) values of 0.986, 0.514 for internal validation, and r(pred) (2), r(m) (2) statistics of 0.902, 0.828 statistics for external validation. Graphic representation of the results, as contoured 3D coefficient plots, also provides a clue to the reasonable modification of molecules. (1) Substituents with a proper length and size at the C5 position of the thiazole core are required to enhance the potency; (2) A small and electron-withdrawing group at the C2 position linked to the thiazole core is likely to help increase the FBPase inhibition; (3) Substituent groups as hydrogen bond acceptors at the C2 position of the furan ring are favored. In addition, the agreement between 3D-QSAR, molecular docking and molecular dynamics simulation proves the rationality of the developed models. These results, we hope, may be helpful in designing novel and potential FBPase inhibitors.

摘要

果糖1,6 - 二磷酸酶(FBPase)已被确定为2型糖尿病降血糖药物的发现靶点。在本研究中,通过3D - QSAR、分子对接和分子动力学模拟的组合方法,对一系列105种FBPase抑制剂进行了研究,以进一步提高其效力。优化后的3D模型显示出结果具有高度统计学意义,特别是对于CoMFA结果,内部验证的r(ncv)(2)、q(2)值分别为0.986、0.514,外部验证的r(pred)(2)、r(m)(2)统计值分别为0.902、0.828。结果的图形表示,如等高线3D系数图,也为分子的合理修饰提供了线索。(1)噻唑核心C5位置需要具有适当长度和大小的取代基来增强效力;(2)与噻唑核心相连的C2位置的小吸电子基团可能有助于增加对FBPase的抑制作用;(3)呋喃环C2位置作为氢键受体的取代基是有利的。此外,3D - QSAR、分子对接和分子动力学模拟之间的一致性证明了所开发模型的合理性。我们希望这些结果可能有助于设计新型和潜在的FBPase抑制剂。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abfb/3233463/457629b73493/ijms-12-08161f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abfb/3233463/c1964ddcac9c/ijms-12-08161f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abfb/3233463/308fd44888df/ijms-12-08161f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abfb/3233463/75601762f1b9/ijms-12-08161f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abfb/3233463/931d11e61595/ijms-12-08161f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abfb/3233463/a71b1e677aeb/ijms-12-08161f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abfb/3233463/457629b73493/ijms-12-08161f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abfb/3233463/c1964ddcac9c/ijms-12-08161f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abfb/3233463/308fd44888df/ijms-12-08161f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abfb/3233463/75601762f1b9/ijms-12-08161f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abfb/3233463/931d11e61595/ijms-12-08161f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abfb/3233463/a71b1e677aeb/ijms-12-08161f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abfb/3233463/457629b73493/ijms-12-08161f6.jpg

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