4-[2-(ethoxycarbonyl-cyano-methylene)-cyclopentyl]-butyric acid ethyl ester | 101256-55-7

• 分子结构分类: 有机化合物 - 脂质和类脂质分子 - 脂肪酰基
• 英文名称: 4-[2-(ethoxycarbonyl-cyano-methylene)-cyclopentyl]-butyric acid ethyl ester
• 英文别名: 4-[2-(Aethoxycarbonyl-cyan-methylen)-cyclopentyl]-buttersaeure-aethylester
• CAS: 101256-55-7
• 化学式: C₁₆H₂₃NO₄
• 分子量: 293.363
• InChiKey: XWOQIOGLAWGUDW-UHFFFAOYSA-N

计算性质

• 辛醇/水分配系数(LogP)：
  2.9
• 重原子数：
  21.0
• 可旋转键数：
  7.0
• 环数：
  1.0
• sp3杂化的碳原子比例：
  0.69
• 拓扑面积：
  76.39
• 氢给体数：
  0.0
• 氢受体数：
  5.0

反应信息

• 作为反应物：
  描述：

  4-[2-(ethoxycarbonyl-cyano-methylene)-cyclopentyl]-butyric acid ethyl ester 在 乙醇 、 铂 作用下， 生成 (+-)-4-[(1Ξ)-cis-2-((Ξ)-ethoxycarbonyl-cyano-methyl)-cyclopentyl]-butyric acid ethyl ester
  参考文献：
  名称：

  4- and 5-Phenylazulenes

  摘要：

  DOI：

  10.1021/ja01545a054
• 作为产物：
  描述：

  alkaline earth salt of/the/ methylsulfuric acid 、 alkaline earth salt of/the/ methylsulfuric acid 在 乙醇 作用下， 生成 4-[2-(ethoxycarbonyl-cyano-methylene)-cyclopentyl]-butyric acid ethyl ester
  参考文献：
  名称：

  Sorm, Collection of Czechoslovak Chemical Communications, 1947, vol. 12, p. 251,259

  摘要：

  DOI：

文献信息

• Über das 4-, 5- und 6-Phenyl-azulen
  作者：Horst Pommer

  DOI：10.1002/ardp.19582910106

  日期：——
• A neural network model on self-organizing emergence of simple-cell receptive field with orientation selectivity in visual cortex
  作者：Qian Yang、Xianglin Qi、Yunjiu Wang

  DOI：10.1007/bf02882389

  日期：2001.10

  In order to probe into the self-organizing emergence of simple cell orientation selectivity, we tried to construct a neural network model that consists of LGN neurons and simple cells in visual cortex and obeys the Hebbian learning rule. We investigated the neural coding and representation of simple cells to a natural image by means of this model. The results show that the structures of their receptive fields are determined by the preferred orientation selectivity of simple cells. However, they are also decided by the emergence of self-organization in the unsupervision learning process. This kind of orientation selectivity results from dynamic self-organization based on the interactions between LGN and cortex.