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2-(2-Bromophenyl)-5-methylsulfanyl-1,3,4-oxadiazole

中文名称
——
中文别名
——
英文名称
2-(2-Bromophenyl)-5-methylsulfanyl-1,3,4-oxadiazole
英文别名
——
2-(2-Bromophenyl)-5-methylsulfanyl-1,3,4-oxadiazole化学式
CAS
——
化学式
C9H7BrN2OS
mdl
——
分子量
271.137
InChiKey
AQNJWAMFGRAQRD-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):
    2.9
  • 重原子数:
    14
  • 可旋转键数:
    2
  • 环数:
    2.0
  • sp3杂化的碳原子比例:
    0.11
  • 拓扑面积:
    64.2
  • 氢给体数:
    0
  • 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:
    参考文献:
    名称:
    Inhibition of Tobacco Bacterial Wilt with Sulfone Derivatives Containing an 1,3,4-Oxadiazole Moiety
    摘要:
    A series of new sulfone compounds containing the 1,3,4-oxadiazole moiety were designed and synthesized. Their structures were identified by H-1 and C-13 nuclear magnetic resonance and elemental analyses. Antibacterial bioassays indicated that most compounds exhibited promising in vitro antibacterial bioactivities against tobacco bacterial wilt at 200 mu g/mL. The relationship between structure and antibacterial activity was also discussed. Among the title compounds, 5'c:, 5'h, 5'i, and 5, could inhibit mycelia growth of Ralstonia solanacearum in vitro by approximately 50% (EC50) at 39.8, 60.3, 47.9, and 32.1 mu g/mL, respectively. Among them, compound 5) was identified as the most promising candidate due to its stronger effect than that of Kocide 3000 [Cu(OH)(2)] within the same concentration range. Field trials demonstrated that the control effect of compound 55 against tobacco bacterial wilt was better than that of the commercial bactericide Saisentong. For the first time, the present work demonstrated that sulfone derivatives containing 1,3,4-oxadiazole can be used to develop potential bactericides for plants.
    DOI:
    10.1021/jf203772d
  • 作为产物:
    描述:
    邻溴苯甲酸甲酯一水合肼 、 potassium hydroxide 、 sodium hydroxide 作用下, 以 甲醇乙醇 为溶剂, 生成 2-(2-Bromophenyl)-5-methylsulfanyl-1,3,4-oxadiazole
    参考文献:
    名称:
    Inhibition of Tobacco Bacterial Wilt with Sulfone Derivatives Containing an 1,3,4-Oxadiazole Moiety
    摘要:
    A series of new sulfone compounds containing the 1,3,4-oxadiazole moiety were designed and synthesized. Their structures were identified by H-1 and C-13 nuclear magnetic resonance and elemental analyses. Antibacterial bioassays indicated that most compounds exhibited promising in vitro antibacterial bioactivities against tobacco bacterial wilt at 200 mu g/mL. The relationship between structure and antibacterial activity was also discussed. Among the title compounds, 5'c:, 5'h, 5'i, and 5, could inhibit mycelia growth of Ralstonia solanacearum in vitro by approximately 50% (EC50) at 39.8, 60.3, 47.9, and 32.1 mu g/mL, respectively. Among them, compound 5) was identified as the most promising candidate due to its stronger effect than that of Kocide 3000 [Cu(OH)(2)] within the same concentration range. Field trials demonstrated that the control effect of compound 55 against tobacco bacterial wilt was better than that of the commercial bactericide Saisentong. For the first time, the present work demonstrated that sulfone derivatives containing 1,3,4-oxadiazole can be used to develop potential bactericides for plants.
    DOI:
    10.1021/jf203772d
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文献信息

  • Synthesis of novel 5-aryl-2-thio-1,3,4-oxadiazoles and the study of their structure–anti-mycobacterial activities
    作者:Fliur Macaev、Ghenadie Rusu、Serghei Pogrebnoi、Alexandru Gudima、Eugenia Stingaci、Ludmila Vlad、Nathaly Shvets、Fatma Kandemirli、Anatholy Dimoglo、Robert Reynolds
    DOI:10.1016/j.bmc.2005.05.011
    日期:2005.8
    The preparation of novel 5-aryt-2-thio-1,3,4-oxadiazoles 4a 41 and the computer-aided study of their in vitro anti-tubercular activity against Myeobacterium tuberculosis H(37)Rv (ATCC 27294) are reported. The average accuracy of the electronic-topological method and neural network methods applied to the activity prediction in leave-one-out cross validation is 80%. (c) 2005 Elsevier Ltd. All rights reserved.
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