2-Oxo-heneicosanoic acid

• 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: 2-Oxo-heneicosanoic acid
• 英文别名: 2-oxohenicosanoic acid
• 化学式: C₂₁H₄₀O₃
• 分子量: 340.5
• InChiKey: RNIWLIHFOSDVEB-UHFFFAOYSA-N

计算性质

• 辛醇/水分配系数(LogP)：
  9.2
• 重原子数：
  24
• 可旋转键数：
  19
• 环数：
  0.0
• sp3杂化的碳原子比例：
  0.9
• 拓扑面积：
  54.4
• 氢给体数：
  1
• 氢受体数：
  3

文献信息

• Acrylic copolymer
  申请人：Mouri Makoto

  公开号：US20050182224A1

  公开（公告）日：2005-08-18

  An acrylic copolymer consisting of a first acrylic monomer represented by the following general formula (1): [where each of R 1 and R 2 represents an aliphatic hydrocarbon group whose main chain is composed of 3 or less carbon atoms, and each of R 3 and R 4 represents a hydrocarbon atom], and a second acrylic monomer represented by the following general formula (2): [where at least one of R 5 and R 6 represents an aliphatic hydrocarbon group whose main chain is composed of 4 to 60 carbon atoms, in the case where one of the R 5 and R 6 does not represent the aliphatic hydrocarbon group, it represents an aliphatic hydrocarbon group whose main chain is composed of 3 or less carbon atoms, and each of R 7 and R 8 represents a hydrogen atom], wherein the first acrylic monomer makes up 50 to 99% of total monomer units in the copolymer.

  一种丙烯酸共聚物，由以下通式（1）所代表的第一丙烯酸单体组成：[其中R1和R2分别代表由3个或更少碳原子组成的脂肪族烃基的主链，R3和R4分别代表碳氢原子]，以及以下通式（2）所代表的第二丙烯酸单体：[其中至少一个R5和R6代表由4到60个碳原子组成的脂肪族烃基，在其中一个R5和R6不代表脂肪族烃基的情况下，它代表由3个或更少碳原子组成的脂肪族烃基，R7和R8分别代表氢原子]，其中第一丙烯酸单体占共聚物总单体单位的50-99%。
• METABOLIC BIOMARKERS FOR OVARIAN CANCER AND METHODS OF USE THEREOF
  申请人：Georgia Tech Research Corporation

  公开号：EP2279417A1

  公开（公告）日：2011-02-02
• US7230062B2
  申请人：——

  公开号：US7230062B2

  公开（公告）日：2007-06-12
• [EN] METABOLIC BIOMARKERS FOR OVARIAN CANCER AND METHODS OF USE THEREOF<br/>[FR] BIOMARQUEURS MÉTABOLIQUES POUR LE CANCER DES OVAIRES ET PROCÉDÉS POUR LEUR UTILISATION
  申请人：GEORGIA TECH RES INST

  公开号：WO2009151967A1

  公开（公告）日：2009-12-17

  Panels of serum metabolic biomarkers and methods of their use in detecting and diagnosing cancer, especially ovarian cancer, are disclosed. The metabolic biomarker panels include 2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 20, 25, 50, 75, 100, 150, or more metabolites. Supervised classification methods, such as trained support vector machines (SVMs) are used to determine whether the levels of metabolic biomarkers in a subject are indicative of the presence of cancer. The disclosed biomarkers and methods preferably allow a diagnosis of cancer with an accuracy, a specificity, and/or a sensitivity of at least 80%, 85%, 90%, 95%, 96%, 97%, 98% or 99%.