4-(3,4-dihydro-[2]naphthyl)-butyric acid | 873390-42-2

• 分子结构分类: 有机化合物 - 苯类化合物 - 萘
• 英文名称: 4-(3,4-dihydro-[2]naphthyl)-butyric acid
• 英文别名: 4-(3,4-Dihydro-[2]naphthyl)-buttersaeure
• CAS: 873390-42-2
• 化学式: C₁₄H₁₆O₂
• 分子量: 216.28
• InChiKey: BRJDIWKQKDRXHQ-UHFFFAOYSA-N

计算性质

• 辛醇/水分配系数(LogP)：
  3.27
• 重原子数：
  16.0
• 可旋转键数：
  4.0
• 环数：
  2.0
• sp3杂化的碳原子比例：
  0.36
• 拓扑面积：
  37.3
• 氢给体数：
  1.0
• 氢受体数：
  1.0

反应信息

• 作为反应物：
  描述：

  草酰氯 、 4-(3,4-dihydro-[2]naphthyl)-butyric acid 、 苯 生成 2,3,9,10-tetrahydro-1H-phenanthren-4-one
  参考文献：
  名称：

  Synthesis of 1-Keto-Δ^4a,10a-dodecahydrophenanthrene, cis-9-Methyl-1-decalone, and other Cyclic Ketones

  摘要：

  DOI：

  10.1021/ja01216a047
• 作为产物：
  描述：

  4-(1-oxo-1,2,3,4-tetrahydro-[2]naphthyl)-butyric acid methyl ester 在 aluminum isopropoxide 、 异丙醇 、 甲苯 作用下， 生成 4-(3,4-dihydro-[2]naphthyl)-butyric acid
  参考文献：
  名称：

  Synthesis of 1-Keto-Δ^4a,10a-dodecahydrophenanthrene, cis-9-Methyl-1-decalone, and other Cyclic Ketones

  摘要：

  DOI：

  10.1021/ja01216a047

文献信息

• Environmental influences on plant species composition in ground-water seeps in the Catskill Mountains of New York
  作者：Brian R. Hall、Dudley J. Raynal、Donald J. Leopold

  DOI：10.1672/0277-5212(2001)021[0125:eiopsc]2.0.co;2

  日期：2001.3

  Ground-water seeps in the Catskill Mountains are important water sources for streams and often have different chemistry than nearby surface water. Many studies have shown correlations between water chemistry and plant species composition in wetlands, but there are no such studies in the Catskill Mountain ground-water seeps. The objective of this study was to identify the chemical and physical environmental variables that most strongly influence plant species composition in seeps. Environmental variables and plant species abundance were measured at 33 seeps. TWo-way INdicator SPecies ANalysis with analysis of variance and Canonical Correspondence Analysis showed that plant species composition is determined primarily by water depth and alkalinity/acidity complex gradients. Growing season changes in water chemistry were not shown to influence the plant community.
• Preference queries in deductive databases
  作者：Kannan Govindarajan、Bharat Jayaraman、Surya Mantha

  DOI：10.1007/bf03037534

  日期：2001.3

  Traditional database query languages such as datalog and SQL allow the user to specify only mandatory requirements on the data to be retrieved from a database. In many applications, it may he natural to express not only mandatory requirements but also preferences on the data to be retrieved. Lacroix and Lavency(10)) extended SQL with a notion of preference and showed how the resulting query language could still be translated into the domain relational calculus. We explore the use of I,reference in databases in the setting of datalog. We introduce the formalism of preference datalog programs (PDPs) as preference logic programs without uninterpreted function symbols for this purpose. PDPs extend datalog not only with, constructs to specify which predicate is to he optimized and the criterion for optimization but also with constructs to specify which predicate to be relaxed and the criterion to be used for relaxation. We can show that all of the soft requirements in Reference(10)) can be directly encoded in PDP. We first develop a naivety-pruned bottom-up evaluation procedure that is sound and complete for computing answers to normal and relaxation queries when the PDPs are stratified, we then show how the evaluation scheme can be extended to the case when the programs are not necessarily stratified, and finally we develop an extension of the magic templates mettled for datalog(14)) that constructs an equivalent but more efficient program for bottom-up evaluation.