4-(4-methoxyphenyl)butanal oxime | 1158558-97-4

• 分子结构分类: 有机化合物 - 苯类化合物 - 苯酚醚
• 英文名称: 4-(4-methoxyphenyl)butanal oxime
• CAS: 1158558-97-4
• 化学式: C₁₁H₁₅NO₂
• 分子量: 193.246
• InChiKey: TZGIKVVOXMTURO-UHFFFAOYSA-N

计算性质

• 辛醇/水分配系数(LogP)：
  2.48
• 重原子数：
  14.0
• 可旋转键数：
  5.0
• 环数：
  1.0
• sp3杂化的碳原子比例：
  0.36
• 拓扑面积：
  41.82
• 氢给体数：
  1.0
• 氢受体数：
  3.0

反应信息

• 作为反应物：
  描述：

  3-甲氧基苯乙烯 、 4-(4-methoxyphenyl)butanal oxime 在 吡啶 、 sodium hypochlorite 作用下， 以 二氯甲烷 为溶剂， 反应 2.0h， 生成
  参考文献：
  名称：

  Synthesis and biological evaluation of phenolic 4,5-dihydroisoxazoles and 3-hydroxy ketones as estrogen receptor α and β agonists

  摘要：

  In this work, 52 diphenyl-4,5-dihydroisoxazoles and -3-hydroxy ketones were prepared and their estrogen receptor alpha (ER alpha) and estrogen receptor beta (ER beta) activities were explored in order to systematize and maximize their biological activity. The biological activity was firstly screened by using ERE reporter assay to find out how aromatic hydroxylation and methylation of the chiral centers of the compounds affect the ability of ER to mediate biological responses. For selected 19 compounds, the relative binding affinities (RBA, relative to 3,17 beta-estradiol) and ability to induce transcription of primary E2 target gene pS2 in human MCF-7 breast cancer cells were determined. In the reporter assay, many compounds showed even stronger activity than E2 and some of them showed RBA larger than 1%. The highest RBAs were determined for the enantiomers of 1-hydroxy-6-(4-hydroxy-phenyl)-1-phenyl-hexan-3-one (50a and 50b). Isomer 50a showed high binding affinity both to ER alpha (with RBA similar to 200%) and ERb (with RBA similar to 60%), while the RBAs of 50b were ca. 40% of those. Some of the other compounds (with RBA similar to 1-16%) showed also notable ERa binding selectivity. When four most promising ligands (50a, 50b, 45a, and 45b) were studied with respect to their ability to induce the transcription of primary E2 target gene pS2, the compounds acted as agonists or partial agonists. Computer modeling was used to predict receptor binding conformations and to rationalize the RBA differences of the compounds. (C) 2010 Elsevier Ltd. All rights reserved.

  DOI：

  10.1016/j.bmc.2010.04.007