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5,7-dimethoxymethoxy-8-(3,3-dimethylallyl)-flavanone | 1075171-40-2

中文名称
——
中文别名
——
英文名称
5,7-dimethoxymethoxy-8-(3,3-dimethylallyl)-flavanone
英文别名
——
5,7-dimethoxymethoxy-8-(3,3-dimethylallyl)-flavanone化学式
CAS
1075171-40-2
化学式
C24H28O6
mdl
——
分子量
412.483
InChiKey
JHKBWXLJQLENLR-UHFFFAOYSA-N
BEILSTEIN
——
EINECS
——
  • 物化性质
  • 计算性质
  • ADMET
  • 安全信息
  • SDS
  • 制备方法与用途
  • 上下游信息
  • 反应信息
  • 文献信息
  • 表征谱图
  • 同类化合物
  • 相关功能分类
  • 相关结构分类

计算性质

  • 辛醇/水分配系数(LogP):
    4.87
  • 重原子数:
    30.0
  • 可旋转键数:
    9.0
  • 环数:
    3.0
  • sp3杂化的碳原子比例:
    0.38
  • 拓扑面积:
    63.22
  • 氢给体数:
    0.0
  • 氢受体数:
    6.0

上下游信息

  • 上游原料
    中文名称 英文名称 CAS号 化学式 分子量

反应信息

  • 作为反应物:
    描述:
    5,7-dimethoxymethoxy-8-(3,3-dimethylallyl)-flavanone盐酸 作用下, 以 甲醇 为溶剂, 反应 0.75h, 以65%的产率得到5,7-dihydroxy-8-C-prenylflavanone
    参考文献:
    名称:
    Identification of SVM-based classification model, synthesis and evaluation of prenylated flavonoids as vasorelaxant agents
    摘要:
    Support vector machine (SVM) was applied to predict vasorelaxation effect of different structural molecules. A good classification model had been established, and the accuracy in prediction for the training, test, and overall datasets was 93.0%, 82.6%, and 89.5%, respectively. Furthermore, the model was used to predict the activity of a series of prenylated flavonoids. According to the estimated result, eleven molecules 1-11 were selected and synthesized. Their vasodilatory activities were determined experimentally in rat aorta rings that were pretreated with phenylephrine ( PE). Structure-activity relationship (SAR) analysis revealed that flavanone derivatives showed the most potent activities, while flavone and chalcone derivatives exhibited medium activities. (C) 2008 Elsevier Ltd. All rights reserved.
    DOI:
    10.1016/j.bmc.2008.07.031
  • 作为产物:
    描述:
    2-hydroxy-3-(3,3-dimethylallyl)-4,6-dimethoxymethoxychalconesodium acetate 作用下, 以 乙醇 为溶剂, 反应 24.0h, 以68%的产率得到5,7-dimethoxymethoxy-8-(3,3-dimethylallyl)-flavanone
    参考文献:
    名称:
    Identification of SVM-based classification model, synthesis and evaluation of prenylated flavonoids as vasorelaxant agents
    摘要:
    Support vector machine (SVM) was applied to predict vasorelaxation effect of different structural molecules. A good classification model had been established, and the accuracy in prediction for the training, test, and overall datasets was 93.0%, 82.6%, and 89.5%, respectively. Furthermore, the model was used to predict the activity of a series of prenylated flavonoids. According to the estimated result, eleven molecules 1-11 were selected and synthesized. Their vasodilatory activities were determined experimentally in rat aorta rings that were pretreated with phenylephrine ( PE). Structure-activity relationship (SAR) analysis revealed that flavanone derivatives showed the most potent activities, while flavone and chalcone derivatives exhibited medium activities. (C) 2008 Elsevier Ltd. All rights reserved.
    DOI:
    10.1016/j.bmc.2008.07.031
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