Chemoenzymatic methods for automated carbohydrate synthesis

自动碳水化合物合成的化学酶法

• 批准号: 1012511
• 负责人: Xi Chen
• 金额: $ 39.3万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1012511&HistoricalAwards=false
• 关键词: Chemoenzymatic; methods; automated; carbohydrate; synthesis

The Chemical Synthesis (SYN) Program in the Division of Chemistry supports the work of Professor Xi Chen of the University of California-Davis on developing efficient chemoenzymatic methods which can be readily adapted for automated synthesis of complex carbohydrates. Multistep one-pot-multienzyme processes are designed to synthesize tagged complex carbohydrates from simple mono- or disaccharides. The method allows efficient solution-phase synthesis complemented with facile column purification. The adaption of the proposed method to automated synthesis of carbohydrate will allow easy access to major naturally occurring mammalian carbohydrates even by non-specialists.The proposed research involves multi-disciplinary cutting-edge research in the fields of organic chemistry, biochemistry, and molecular biology, providing excellent training opportunity for graduate students, undergraduate students, and summer high school students. The new method proposed here will allow the efficient product of complex carbohydrates which are important molecules in biological systems. The products obtained will lead to a better understanding of their functions.

化学系化学合成（SYN）项目支持加州大学戴维斯分校陈曦教授开发高效化学酶方法的工作，该方法可以很容易地适应复杂碳水化合物的自动合成。多步骤、一锅、多酶工艺设计用于从简单的单糖或双糖合成有标记的复杂碳水化合物。该方法允许高效的液相合成，并辅以简便的柱纯化。将所提出的方法应用于碳水化合物的自动合成，将使非专业人士也能轻松获取主要的天然哺乳动物碳水化合物。拟开展有机化学、生物化学、分子生物学等多学科前沿研究，为研究生、本科生和暑期高中生提供良好的培养机会。本文提出的新方法将使生物系统中重要分子复杂碳水化合物的高效产物成为可能。获得的产品将有助于更好地理解它们的功能。