3-keto-beta-D-galactose

• 分子结构分类: 有机化合物 - 有机氧化合物
• 英文名称: 3-keto-beta-D-galactose
• 英文别名: (2R,3S,5S,6R)-2,3,5-trihydroxy-6-(hydroxymethyl)oxan-4-one
• 化学式: C₆H₁₀O₆
• 分子量: 178.14
• InChiKey: APIQNBNBIICCON-FKMSRSAHSA-N

计算性质

• 辛醇/水分配系数(LogP)：
  -2.2
• 重原子数：
  12
• 可旋转键数：
  1
• 环数：
  1.0
• sp3杂化的碳原子比例：
  0.83
• 拓扑面积：
  107
• 氢给体数：
  4
• 氢受体数：
  6

反应信息

• 作为产物：
  描述：

  3'-Ketolactose 、 水 生成 3-keto-beta-D-galactose 、 可得然胶
  参考文献：
  名称：

  摘要：

  DOI：

文献信息

• Metabolomics-Based Identification of Disease-Causing Agents
  申请人：Skolnick Jeffrey

  公开号：US20110246081A1

  公开（公告）日：2011-10-06

  A method, computer-readable medium, and system for identifying one or more metabolites associated with a disease, comprising: comparing gene expression data from diseased cells to gene expression data from control cells in order to deduce genes that are differentially-regulated in the diseased cells relative to the control cells; based on enzyme function and pathway data for all human metabolites that utilize the genes that are differentially-regulated in the disease cells, identifying one or more metabolites whose intracellular levels are higher or lower in diseased cells than in control cells, and thereby associating the one or more metabolites with the disease.
• [EN] METABOLOMICS-BASED IDENTIFICATION OF DISEASE-CAUSING AGENTS<br/>[FR] IDENTIFICATION D'AGENTS PROVOQUANT UNE MALADIE BASÉE SUR LA MÉTABOLOMIQUE
  申请人：GEORGIA TECH RES INST

  公开号：WO2009052186A1

  公开（公告）日：2009-04-23

  A method, computer-readable medium, and system for identifying one or more metabolites associated with a disease, comprising: comparing gene expression data from diseased cells to gene expression data from control cells in order to deduce genes that are differentially-regulated in the diseased cells relative to the control cells; based on enzyme function and pathway data for all human metabolites that utilize the genes that are differentially-regulated in the disease cells, identifying one or more metabolites whose intracellular levels are higher or lower in diseased cells than in control cells, and thereby associating the one or more metabolites with the disease.
• [EN] METHOD FOR PREDICTING DRUG TARGETS AND SCREENING FOR DRUGS FOR PATHOGENIC MICROORGANISMS USING ESSENTIAL METABOLITES<br/>[FR] MÉTHODE DE PRÉDICTION DE CIBLES DE MÉDICAMENT ET CRIBLAGE DE MÉDICAMENTS DESTINÉS À DÉTECTER DES MICROORGANISMES PATHOGÈNES AU MOYEN DE MÉTABOLITES ESSENTIELS
  申请人：KOREA ADVANCED INST SCI & TECH

  公开号：WO2011034397A2

  公开（公告）日：2011-03-24

  본 발명은 필수 대사산물을 이용한 병원성 미생물의 약물 표적 예측 및 약물 탐색 방법에 관한 것으로, 보다 구체적으로는 대상 미생물을 선정하고, 선정된 미생물의 대사 네트워크 모델을 구축한 후, 필수 대사산물 분석 (metabolite essentiality) 방법을 적용하여 세포 성장에 필수적인 대사산물을 예측하고, 이들 중 유통 대사산물（currency metabolite) 및 소비하는 반응식의 개수가 기준 미달인 필수 대사산물들 제거한 후, 남은 필수 대사산물들과 이들을 소비하는 효소가 숙주의 대사에 없는 것들만을 추가 선별함으로써, 효율적인 병원성 미생물의 약물 표적 효소 또는 이를 코딩하는 약물 표적 유전자를 스크리닝하는 방법 및 이들 병원성 미생물의 성장을 억제할 수 있는 약물을 선별하는 스크리닝 방법에 관한 것이다.