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(1R)-2-(3'-pyridinyl)-8-azabicyclo[3.2.1]oct-2-ene-8-carboxylic acid ethyl ester

中文名称
——
中文别名
——
英文名称
(1R)-2-(3'-pyridinyl)-8-azabicyclo[3.2.1]oct-2-ene-8-carboxylic acid ethyl ester
英文别名
ethyl (1R,5S)-2-pyridin-3-yl-8-azabicyclo[3.2.1]oct-2-ene-8-carboxylate
(1R)-2-(3'-pyridinyl)-8-azabicyclo[3.2.1]oct-2-ene-8-carboxylic acid ethyl ester化学式
CAS
——
化学式
C15H18N2O2
mdl
——
分子量
258.32
InChiKey
WYDZZPOPZONOFF-TZMCWYRMSA-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):
    1.9
  • 重原子数:
    19
  • 可旋转键数:
    3
  • 环数:
    3.0
  • sp3杂化的碳原子比例:
    0.47
  • 拓扑面积:
    42.4
  • 氢给体数:
    0
  • 氢受体数:
    3

上下游信息

  • 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:
    (1R)-2-(3'-pyridinyl)-8-azabicyclo[3.2.1]oct-2-ene-8-carboxylic acid ethyl ester碘代三甲硅烷盐酸甲醇 作用下, 以 四氢呋喃乙醚 为溶剂, 反应 3.17h, 以44%的产率得到(1R)-2-(3'-pyridinyl)-8-azabicyclo[3.2.1]oct-2-ene
    参考文献:
    名称:
    3D QSAR Analyses-Guided Rational Design of Novel Ligands for the (α4)2(β2)3 Nicotinic Acetylcholine Receptor
    摘要:
    Three-dimensional quantitative structure-activity relationship methods, the comparative molecular field analysis (CoMFA) and the comparative molecular similarity indices analysis (CoMSIA), were applied using a training set of 45 ligands of the (alpha4)(2)(beta2)(3) nicotinic acetylcholine receptor (nAChR). All compounds are related to (-)-epibatidine, (-)-cytisine, (+)-anatoxin-a, and (-)-ferruginine, and additionally, novel diazabicyclo[4.2.1]nonane- and quinuclidin-2-ene-based structures were included. Their biological data have been determined by utilizing the same experimental protocol. Statistically reliable models of good predictive power (CoMFA r(2) = 0.928, q(2) = 0.692, no. of components = 3; CoMSIA r(2) = 0.899, q(2) = 0.701, no. of components = 3) were achieved. The results obtained were graphically interpreted in terms of field contribution maps. Hence, physicochemical. determinants of binding, such as steric and electrostatic and, for the first time, hydrophobic, hydrogen bond donor, and hydrogen bond acceptor properties, were mapped back onto the molecular structures of a set of nAChR modulators. In particular, changes in the binding affinity of the modulators as a result of modifications in the aromatic ring systems could be rationalized by the steric, electrostatic, hydrophobic, and hydrogen bond acceptor properties. These results were used to guide the rational design of new nAChR ligands such as 48-52 and 54, which were subsequently synthesized for the first time and tested. Key steps of our synthetic approaches were successfully applied Stille and Suzuki cross-coupling reactions. Predictive r(2) values of 0.614 and 0.660 for CoMFA and CoMSIA, respectively, obtained for 22 in part previously unknown ligands for the (alpha4)(2)(beta2)(3) subtype, demonstrate the high quality of the 3D QSAR models.
    DOI:
    10.1021/jm020859m
  • 作为产物:
    描述:
    二乙基(3-吡啶基)-硼烷(-)-(1R,5S)-2-(trifluoromethanesulfonyloxy)-8-azabicyclo[3.2.1]oct-2-ene-8-carboxylic acid ethyl ester 在 bis-triphenylphosphine-palladium(II) chloride 、 sodium carbonate 作用下, 以 四氢呋喃 为溶剂, 反应 0.33h, 以76%的产率得到(1R)-2-(3'-pyridinyl)-8-azabicyclo[3.2.1]oct-2-ene-8-carboxylic acid ethyl ester
    参考文献:
    名称:
    3D QSAR Analyses-Guided Rational Design of Novel Ligands for the (α4)2(β2)3 Nicotinic Acetylcholine Receptor
    摘要:
    Three-dimensional quantitative structure-activity relationship methods, the comparative molecular field analysis (CoMFA) and the comparative molecular similarity indices analysis (CoMSIA), were applied using a training set of 45 ligands of the (alpha4)(2)(beta2)(3) nicotinic acetylcholine receptor (nAChR). All compounds are related to (-)-epibatidine, (-)-cytisine, (+)-anatoxin-a, and (-)-ferruginine, and additionally, novel diazabicyclo[4.2.1]nonane- and quinuclidin-2-ene-based structures were included. Their biological data have been determined by utilizing the same experimental protocol. Statistically reliable models of good predictive power (CoMFA r(2) = 0.928, q(2) = 0.692, no. of components = 3; CoMSIA r(2) = 0.899, q(2) = 0.701, no. of components = 3) were achieved. The results obtained were graphically interpreted in terms of field contribution maps. Hence, physicochemical. determinants of binding, such as steric and electrostatic and, for the first time, hydrophobic, hydrogen bond donor, and hydrogen bond acceptor properties, were mapped back onto the molecular structures of a set of nAChR modulators. In particular, changes in the binding affinity of the modulators as a result of modifications in the aromatic ring systems could be rationalized by the steric, electrostatic, hydrophobic, and hydrogen bond acceptor properties. These results were used to guide the rational design of new nAChR ligands such as 48-52 and 54, which were subsequently synthesized for the first time and tested. Key steps of our synthetic approaches were successfully applied Stille and Suzuki cross-coupling reactions. Predictive r(2) values of 0.614 and 0.660 for CoMFA and CoMSIA, respectively, obtained for 22 in part previously unknown ligands for the (alpha4)(2)(beta2)(3) subtype, demonstrate the high quality of the 3D QSAR models.
    DOI:
    10.1021/jm020859m
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文献信息

  • 3D QSAR Analyses-Guided Rational Design of Novel Ligands for the (α4)<sub>2</sub>(β2)<sub>3</sub> Nicotinic Acetylcholine Receptor
    作者:Holger Gohlke、Simone Schwarz、Daniela Gündisch、Maria Cristina Tilotta、Alexander Weber、Thomas Wegge、Gunther Seitz
    DOI:10.1021/jm020859m
    日期:2003.5.1
    Three-dimensional quantitative structure-activity relationship methods, the comparative molecular field analysis (CoMFA) and the comparative molecular similarity indices analysis (CoMSIA), were applied using a training set of 45 ligands of the (alpha4)(2)(beta2)(3) nicotinic acetylcholine receptor (nAChR). All compounds are related to (-)-epibatidine, (-)-cytisine, (+)-anatoxin-a, and (-)-ferruginine, and additionally, novel diazabicyclo[4.2.1]nonane- and quinuclidin-2-ene-based structures were included. Their biological data have been determined by utilizing the same experimental protocol. Statistically reliable models of good predictive power (CoMFA r(2) = 0.928, q(2) = 0.692, no. of components = 3; CoMSIA r(2) = 0.899, q(2) = 0.701, no. of components = 3) were achieved. The results obtained were graphically interpreted in terms of field contribution maps. Hence, physicochemical. determinants of binding, such as steric and electrostatic and, for the first time, hydrophobic, hydrogen bond donor, and hydrogen bond acceptor properties, were mapped back onto the molecular structures of a set of nAChR modulators. In particular, changes in the binding affinity of the modulators as a result of modifications in the aromatic ring systems could be rationalized by the steric, electrostatic, hydrophobic, and hydrogen bond acceptor properties. These results were used to guide the rational design of new nAChR ligands such as 48-52 and 54, which were subsequently synthesized for the first time and tested. Key steps of our synthetic approaches were successfully applied Stille and Suzuki cross-coupling reactions. Predictive r(2) values of 0.614 and 0.660 for CoMFA and CoMSIA, respectively, obtained for 22 in part previously unknown ligands for the (alpha4)(2)(beta2)(3) subtype, demonstrate the high quality of the 3D QSAR models.
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