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1,2-bis-methoxymethoxy-propane | 59569-48-1

中文名称
——
中文别名
——
英文名称
1,2-bis-methoxymethoxy-propane
英文别名
1,2-Bis-methoxymethoxy-propan;1,2-Bis(methoxymethoxy)propane
1,2-bis-methoxymethoxy-propane化学式
CAS
59569-48-1
化学式
C7H16O4
mdl
——
分子量
164.202
InChiKey
XCPYYJPAFAPMGI-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):
    0.3
  • 重原子数:
    11
  • 可旋转键数:
    7
  • 环数:
    0.0
  • sp3杂化的碳原子比例:
    1.0
  • 拓扑面积:
    36.9
  • 氢给体数:
    0
  • 氢受体数:
    4

反应信息

  • 作为产物:
    描述:
    1,2-bis-chloromethoxy-propane 、 sodium methylate 生成 1,2-bis-methoxymethoxy-propane
    参考文献:
    名称:
    Arbusow; Winokurowa, Izvestiya Akademii Nauk SSSR, Seriya Khimicheskaya, 1953, p. 829,835;engl.Ausg.S.735,739
    摘要:
    DOI:
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文献信息

  • METHOD FOR PREDICTING AND MODELING ANTI-PSYCHOTIC ACTIVITY USING VIRTUAL SCREENING MODEL
    申请人:Srivastava Santosh Kumar
    公开号:US20130184462A1
    公开(公告)日:2013-07-18
    The present invention relates to the development of a virtual screening model for predicting antipsychotic activity using quantitative structure activity relationship (QSAR), molecular docking, oral bioavailability, ADME and Toxicity studies. The present invention also relates to the development of QSAR model using forward stepwise method of multiple linear regression with leave-one-out validation approach. QSAR model showed activity-descriptors relationship correlating measure (r 2 ) 0.87 (87%) and predictive accuracy of 81% (rCV 2 =0.81). The present invention specifically showed strong binding affinity of the untested (unknown) novel compounds against anti-psychotic targets viz., Dopamine D2 and Serotonin (5HT 2A ) receptors through molecular docking approach. Theoretical results were in accord with the in vitro and in vivo experimental data. The present invention further showed compliance of Lipinski's rule of five for oral bioavailability and toxicity risk assessment for all the active Yohimbine derivatives. Therefore, use of developed virtual screening model will definitely facilitate the screening of more effective antipsychotic leads/drugs with improved antipsychotic activity and also reduced the drug discovery cost and duration.
  • Arbusow; Winokurowa, Izvestiya Akademii Nauk SSSR, Seriya Khimicheskaya, 1953, p. 829,835;engl.Ausg.S.735,739
    作者:Arbusow、Winokurowa
    DOI:——
    日期:——
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