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NMR-Based Structural Glycomics for High-Throughput Screening of Carbohydrate-Active Enzyme Specificity

机译:基于NMR的结构糖蛋白用于高通量筛选糖活性酶特异性的方法

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摘要

We report here the development of a straight-forward, sensitive, and quantitative NMR-based method for high-throughput characterization of carbohydrate structure and screening of carbohydrate active enzyme (CAZyme) specificity. Automated assays starting from gene library expression to carbohydrate structure determination directly from crude reaction media have been established and successfully used to screen a library of 4032 CAZymes obtained by combinatorial engineering at a rate of 480 enzyme variants per day. This allowed one to accurately discriminate 303 enzyme variants with altered specificity. The results demonstrate the potential of high-throughput NMR technology in glycomics, to mine artificial and natural enzyme diversity for novel biocatalysts.
机译:我们在这里报告了一种简单,灵敏,定量的基于NMR的碳水化合物结构高通量表征和碳水化合物活性酶(CAZyme)特异性筛选方法的开发。已经建立了从基因文库表达开始直接从粗反应介质直接确定碳水化合物结构的自动化分析方法,并成功用于筛选通过组合工程获得的4032个CAZyme的文库,其速率为每天480个酶变体。这使得人们可以准确地区分具有变化的特异性的303种酶变体。结果表明,糖化学领域的高通量NMR技术具有挖掘新型生物催化剂的人工和天然酶多样性的潜力。

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