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3-[2-fluoro-4-(5-methyl-7H-pyrrolo[2,3-d]pyrimidin-4-yl)phenyl]-1-(2-hydroxyethyl)-1-phenylurea | 1219727-83-9

中文名称
——
中文别名
——
英文名称
3-[2-fluoro-4-(5-methyl-7H-pyrrolo[2,3-d]pyrimidin-4-yl)phenyl]-1-(2-hydroxyethyl)-1-phenylurea
英文别名
3-(2-fluoro-4-(5-methyl-7H-pyrrolo[2,3-d]pyrimidin-4-yl)phenyl)-1-(2-hydroxyethyl)-1-phenylurea
3-[2-fluoro-4-(5-methyl-7H-pyrrolo[2,3-d]pyrimidin-4-yl)phenyl]-1-(2-hydroxyethyl)-1-phenylurea化学式
CAS
1219727-83-9
化学式
C22H20FN5O2
mdl
——
分子量
405.432
InChiKey
FMJHCIVLBIHDBE-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:
    30
  • 可旋转键数:
    5
  • 环数:
    4.0
  • sp3杂化的碳原子比例:
    0.14
  • 拓扑面积:
    94.1
  • 氢给体数:
    3
  • 氢受体数:
    5

反应信息

  • 作为产物:
    参考文献:
    名称:
    Discovery of bis-aryl urea derivatives as potent and selective Limk inhibitors: Exploring Limk1 activity and Limk1/ROCK2 selectivity through a combined computational study
    摘要:
    Lim kinase (Limk), a proline/serine-rich sequence, can regulate the polymerization of the actin filaments by phosphorylating, and it is found to be highly involved in various human diseases. In this paper, 47 reported Limk1 inhibitors with bis-aryl urea scaffold were used to design potent and selective Limk inhibitors by computational approaches. Firstly, the structure-Limk1 activity relationship models (3D-QSAR) and structure-Limk1/ROCK2 selectivity relationship models (3D-QSSR) were developed and both 3D-QSAR and 3D-QSSR models showed good correlative and predictive abilities. Then, the molecular docking and molecular dynamics (MD) simulations were employed to validate the optimal docking conformation and explore the binding affinities. Finally, five new compounds were designed and all of them exhibited good Limk1 inhibition and Limk1/ROCK2 selectivity after synthesis and biological evaluation, which demonstrated that the obtained information from computational studies were valuable to guide Limk inhibitors' design. (C) 2015 Elsevier Ltd. All rights reserved.
    DOI:
    10.1016/j.bmc.2015.10.041
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文献信息

  • [EN] UREA AND CARBAMATE COMPOUNDS AND ANALOGS AS KINASE INHIBITORS<br/>[FR] COMPOSÉS D'URÉE ET DE CARBAMATE ET ANALOGUES UTILISÉS COMME INHIBITEURS DE KINASE
    申请人:FENG YANGBO
    公开号:WO2010036316A1
    公开(公告)日:2010-04-01
    The invention is directed to compounds that can inhibit the bioactivity of one or more kinases such as any of Rho kinases, PKB (Akt) kinases, p70S6K kinase, LIM kinases, or IKK kinases, to methods of use of those compounds, and to methods of preparation of those compounds The inventive compounds can be used In the treatment of a variety of medical malconditions.
    该发明涉及可以抑制一个或多个激酶的生物活性的化合物,如Rho激酶、PKB(Akt)激酶、p70S6K激酶、LIM激酶或IKK激酶中的任何一个,以及这些化合物的使用方法和制备方法。这些创新的化合物可用于治疗各种医疗疾病。
  • Discovery of bis-aryl urea derivatives as potent and selective Limk inhibitors: Exploring Limk1 activity and Limk1/ROCK2 selectivity through a combined computational study
    作者:Jiaxin Cui、Mei Ding、Wei Deng、Yan Yin、Zhonghua Wang、Hong Zhou、Guofeng Sun、Yu Jiang、Yangbo Feng
    DOI:10.1016/j.bmc.2015.10.041
    日期:2015.12
    Lim kinase (Limk), a proline/serine-rich sequence, can regulate the polymerization of the actin filaments by phosphorylating, and it is found to be highly involved in various human diseases. In this paper, 47 reported Limk1 inhibitors with bis-aryl urea scaffold were used to design potent and selective Limk inhibitors by computational approaches. Firstly, the structure-Limk1 activity relationship models (3D-QSAR) and structure-Limk1/ROCK2 selectivity relationship models (3D-QSSR) were developed and both 3D-QSAR and 3D-QSSR models showed good correlative and predictive abilities. Then, the molecular docking and molecular dynamics (MD) simulations were employed to validate the optimal docking conformation and explore the binding affinities. Finally, five new compounds were designed and all of them exhibited good Limk1 inhibition and Limk1/ROCK2 selectivity after synthesis and biological evaluation, which demonstrated that the obtained information from computational studies were valuable to guide Limk inhibitors' design. (C) 2015 Elsevier Ltd. All rights reserved.
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