1-[2-[2-Hydroxy-3-(propylamino)propoxy]phenyl]-3-(2-methylphenyl)propan-1-one | 1268679-53-3

• 分子结构分类: 有机化合物 - 苯丙烷和聚酮 - 直链 1,3-二芳基丙烷
• 英文名称: 1-[2-[2-Hydroxy-3-(propylamino)propoxy]phenyl]-3-(2-methylphenyl)propan-1-one
• CAS: 1268679-53-3
• 化学式: C₂₂H₂₉NO₃
• 分子量: 355.477
• InChiKey: GMMCCBUPLVOKOX-UHFFFAOYSA-N

计算性质

• 辛醇/水分配系数(LogP)：
  3.7
• 重原子数：
  26
• 可旋转键数：
  11
• 环数：
  2.0
• sp3杂化的碳原子比例：
  0.41
• 拓扑面积：
  58.6
• 氢给体数：
  2
• 氢受体数：
  4

反应信息

• 作为反应物：
  描述：

  1-[2-[2-Hydroxy-3-(propylamino)propoxy]phenyl]-3-(2-methylphenyl)propan-1-one 在 盐酸 作用下， 以 乙醚 为溶剂， 以70.8%的产率得到3-(2-methylphenyl)-1-[2-(2-hydroxy-3-propylaminopropoxy)phenyl]-propan-1-one hydrochloride
  参考文献：
  名称：

  Phenylpropiophenone derivatives as potential anticancer agents: Synthesis, biological evaluation and quantitative structure–activity relationship study

  摘要：

  Series of twelve chalcone and propafenone derivatives has been synthesized and evaluated for anticancer activities against Hela, Fem-X, PC-3, MCF-7, LS174 and K562 cell lines. The 2D-QSAR and 3D-QSAR studies were performed for all compounds with cytotoxic activities against each cancer cell line. Partial least squares (PLS) regression has been applied for selection of the most relevant molecular descriptors and QSAR models building. Predictive potentials of the created 2D-QSAR and 3D-QSAR models for each cell line were compared, by use of leave-one-out cross-validation and external validation, and optimal QSAR models for each cancer cell line were selected. The QSAR studies have selected the most significant molecular descriptors and pharmacophores of the chalcone and propafenone derivatives and proposed structures of novel chalcone and propafenone derivatives with enhanced anticancer activity on the HeLa, Fem-X, PC-3, MCF-7, LS174 and K562 cells. (C) 2013 Elsevier Masson SAS. All rights reserved.

  DOI：

  10.1016/j.ejmech.2013.02.013
• 作为产物：
  描述：

  (E)-3-(2-methylphenyl)-1-(2-hydroxyphenyl)prop-2-en-1-one 在 5%-palladium/activated carbon 、 氢气 、 sodium hydroxide 作用下， 以 甲醇 为溶剂， 20.0 ℃ 、101.33 kPa 条件下， 反应 14.17h， 生成 1-[2-[2-Hydroxy-3-(propylamino)propoxy]phenyl]-3-(2-methylphenyl)propan-1-one
  参考文献：
  名称：

  Phenylpropiophenone derivatives as potential anticancer agents: Synthesis, biological evaluation and quantitative structure–activity relationship study

  摘要：

  Series of twelve chalcone and propafenone derivatives has been synthesized and evaluated for anticancer activities against Hela, Fem-X, PC-3, MCF-7, LS174 and K562 cell lines. The 2D-QSAR and 3D-QSAR studies were performed for all compounds with cytotoxic activities against each cancer cell line. Partial least squares (PLS) regression has been applied for selection of the most relevant molecular descriptors and QSAR models building. Predictive potentials of the created 2D-QSAR and 3D-QSAR models for each cell line were compared, by use of leave-one-out cross-validation and external validation, and optimal QSAR models for each cancer cell line were selected. The QSAR studies have selected the most significant molecular descriptors and pharmacophores of the chalcone and propafenone derivatives and proposed structures of novel chalcone and propafenone derivatives with enhanced anticancer activity on the HeLa, Fem-X, PC-3, MCF-7, LS174 and K562 cells. (C) 2013 Elsevier Masson SAS. All rights reserved.

  DOI：

  10.1016/j.ejmech.2013.02.013

文献信息

• Phenylpropiophenone derivatives as potential anticancer agents: Synthesis, biological evaluation and quantitative structure–activity relationship study
  作者：Branka M. Ivković、Katarina Nikolic、Bojana B. Ilić、Željko S. Žižak、Radmila B. Novaković、Olivera A. Čudina、Sote M. Vladimirov

  DOI：10.1016/j.ejmech.2013.02.013

  日期：2013.5

  Series of twelve chalcone and propafenone derivatives has been synthesized and evaluated for anticancer activities against Hela, Fem-X, PC-3, MCF-7, LS174 and K562 cell lines. The 2D-QSAR and 3D-QSAR studies were performed for all compounds with cytotoxic activities against each cancer cell line. Partial least squares (PLS) regression has been applied for selection of the most relevant molecular descriptors and QSAR models building. Predictive potentials of the created 2D-QSAR and 3D-QSAR models for each cell line were compared, by use of leave-one-out cross-validation and external validation, and optimal QSAR models for each cancer cell line were selected. The QSAR studies have selected the most significant molecular descriptors and pharmacophores of the chalcone and propafenone derivatives and proposed structures of novel chalcone and propafenone derivatives with enhanced anticancer activity on the HeLa, Fem-X, PC-3, MCF-7, LS174 and K562 cells. (C) 2013 Elsevier Masson SAS. All rights reserved.