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ethyl 1-(4-chlorobenzyl)-4-(4-pyridinyl)pyrrole-3-carboxylate | 259816-68-7

中文名称
——
中文别名
——
英文名称
ethyl 1-(4-chlorobenzyl)-4-(4-pyridinyl)pyrrole-3-carboxylate
英文别名
1-(4-Chloro-benzyl)-4-pyridin-4-yl-1H-pyrrole-3-carboxylic acid ethyl ester;ethyl 1-[(4-chlorophenyl)methyl]-4-pyridin-4-ylpyrrole-3-carboxylate
ethyl 1-(4-chlorobenzyl)-4-(4-pyridinyl)pyrrole-3-carboxylate化学式
CAS
259816-68-7
化学式
C19H17ClN2O2
mdl
——
分子量
340.809
InChiKey
VDBUPNSNUKYTQR-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):
    3.7
  • 重原子数:
    24
  • 可旋转键数:
    6
  • 环数:
    3.0
  • sp3杂化的碳原子比例:
    0.16
  • 拓扑面积:
    44.1
  • 氢给体数:
    0
  • 氢受体数:
    3

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

反应信息

点击查看最新优质反应信息

文献信息

  • Antimycobacterial pyrroles: synthesis, anti- Mycobacterium tuberculosis activity and QSAR studies
    作者:Rino Ragno、Garland R Marshall、Roberto Di Santo、Roberta Costi、Silvio Massa、Raffaello Rompei、Marino Artico
    DOI:10.1016/s0968-0896(00)00061-4
    日期:2000.6
    A number of known antifungal pyrrole derivatives and some newly synthesized compounds (5-33) were tested in vitro against Mycobacterium tuberculosis CIP 103471. The majority of rested compounds were efficient antimycobacterial agents showing MIC values ranging from 0.5 to 32 mu g/mL. A 3-D-QSAR study has been performed on these pyrrole derivatives to correlate their chemical structures with their observed inhibiting activity against M. tuberculosis. Due to the absence of information on a putative receptor responsible for this activity, classical quantitative structure-activity relationships (QSAR) and comparative molecular field analysis (CoMFA) have been applied. A model able to well correlate the antimycobacterial activity with the chemical structures of pyrrole derivatives 5-33 has been developed which is potentially helpful in the design of novel and more potent antituberculosis agents. The combination of CoMFA with classical QSAR descriptors led to a better hybrid 3-D-QSAR model, that successfully explains the structure-activity relationships (r(2) = 0.86) of the training set. A comparison between the QSAR, CoMFA and mixed QSAR-CoMFA models is also presented. The hybrid model is to be preferred, however, because of its lowest values of the average absolute error of prediction toward a limited external test set. (C) 2000 Elsevier Science Ltd. All rights reserved.
  • Costi, Roberta; Artico, Marino; Di Santo, Roberto, Medicinal Chemistry Research, 1999, vol. 9, # 6, p. 408 - 423
    作者:Costi, Roberta、Artico, Marino、Di Santo, Roberto、De Martino, Gabriella、Massa, Silvio、Deidda, Delia、Lampis, Giorgio、Pompei, Raffaello
    DOI:——
    日期:——
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