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9-hydroxy-β-dunnione | 1599459-29-6

中文名称
——
中文别名
——
英文名称
9-hydroxy-β-dunnione
英文别名
9-hydroxy-2,3,3-trimethyl-2H-benzo[g][1]benzofuran-4,5-dione
9-hydroxy-β-dunnione化学式
CAS
1599459-29-6
化学式
C15H14O4
mdl
——
分子量
258.274
InChiKey
NDNWQVVHBCSHSL-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):
    2.2
  • 重原子数:
    19
  • 可旋转键数:
    0
  • 环数:
    3.0
  • sp3杂化的碳原子比例:
    0.33
  • 拓扑面积:
    63.6
  • 氢给体数:
    1
  • 氢受体数:
    4

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
  • 下游产品
    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:
    9-hydroxy-β-dunnione盐酸 作用下, 以 为溶剂, 以100%的产率得到hydroxy-α-dunnione
    参考文献:
    名称:
    QSAR on antiproliferative naphthoquinones based on a conformation-independent approach
    摘要:
    The antiproliferative activities of a series of 36 naphthoquinone derivatives were subjected to a Quantitative Structure Activity Relationships (QSAR) study. For this purpose a panel of four human cancer cell lines was used, namely HBL-100 (breast), HeLa (cervix), SW-1573 (non-small cell lung) and WiDr (colon). A conformation-independent representation of the chemical structure was established in order to avoid leading with the scarce experimental information on X-ray crystal structure of the drug interaction. The 1179 theoretical descriptors derived with E-Dragon and Recon software were simultaneously analyzed through linear regression models based on the Replacement Method variable subset selection technique. The established models were validated and tested through the use of external test sets of compounds, the Leave-One-Out Cross Validation method, Y-Randomization and Applicability Domain analysis. (c) 2014 Elsevier Masson SAS. All rights reserved.
    DOI:
    10.1016/j.ejmech.2014.02.057
  • 作为产物:
    描述:
    甲烷磺酸2,5-dihydroxy-3-(2-methylbut-3-en-2-yl)naphthalene-1,4-dione二氯甲烷 为溶剂, 反应 0.05h, 以100%的产率得到9-hydroxy-β-dunnione
    参考文献:
    名称:
    QSAR on antiproliferative naphthoquinones based on a conformation-independent approach
    摘要:
    The antiproliferative activities of a series of 36 naphthoquinone derivatives were subjected to a Quantitative Structure Activity Relationships (QSAR) study. For this purpose a panel of four human cancer cell lines was used, namely HBL-100 (breast), HeLa (cervix), SW-1573 (non-small cell lung) and WiDr (colon). A conformation-independent representation of the chemical structure was established in order to avoid leading with the scarce experimental information on X-ray crystal structure of the drug interaction. The 1179 theoretical descriptors derived with E-Dragon and Recon software were simultaneously analyzed through linear regression models based on the Replacement Method variable subset selection technique. The established models were validated and tested through the use of external test sets of compounds, the Leave-One-Out Cross Validation method, Y-Randomization and Applicability Domain analysis. (c) 2014 Elsevier Masson SAS. All rights reserved.
    DOI:
    10.1016/j.ejmech.2014.02.057
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文献信息

  • QSAR on antiproliferative naphthoquinones based on a conformation-independent approach
    作者:Pablo R. Duchowicz、Daniel O. Bennardi、Daniel E. Bacelo、Evelyn L. Bonifazi、Carla Rios-Luci、José M. Padrón、Gerardo Burton、Rosana I. Misico
    DOI:10.1016/j.ejmech.2014.02.057
    日期:2014.4
    The antiproliferative activities of a series of 36 naphthoquinone derivatives were subjected to a Quantitative Structure Activity Relationships (QSAR) study. For this purpose a panel of four human cancer cell lines was used, namely HBL-100 (breast), HeLa (cervix), SW-1573 (non-small cell lung) and WiDr (colon). A conformation-independent representation of the chemical structure was established in order to avoid leading with the scarce experimental information on X-ray crystal structure of the drug interaction. The 1179 theoretical descriptors derived with E-Dragon and Recon software were simultaneously analyzed through linear regression models based on the Replacement Method variable subset selection technique. The established models were validated and tested through the use of external test sets of compounds, the Leave-One-Out Cross Validation method, Y-Randomization and Applicability Domain analysis. (c) 2014 Elsevier Masson SAS. All rights reserved.
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