Suppr超能文献

通过数据库挖掘实现新型生物催化

Novel biocatalysis by database mining.

作者信息

Wackett Lawrence P

机构信息

Department of Biochemistry, Molecular Biology and Biophysics and the Biotechnology Institute, University of Minnesota, St. Paul, MN 55108, USA.

出版信息

Curr Opin Biotechnol. 2004 Aug;15(4):280-4. doi: 10.1016/j.copbio.2004.05.003.

Abstract

Broad-based adoption of biocatalytic methods will require widely available database tools, analogous to previous efforts compiling information for the facilitation of chemical synthesis. The analog to chemical reagents are enzymes. The analog to chemical synthetic routes are metabolic pathways. The free on-line database BRENDA exemplifies efforts to compile relevant information on enzymes for biocatalytic purposes. Likewise, the University of Minnesota Biocatalysis/Biodegradation Database focuses on novel enzymes and metabolic pathways useful in environmental and industrial biotechnology. The development of biocatalytic protocols will be facilitated by the increasing availability of well-curated database information on enzymatic enantioselectivity and capabilities for transforming disparate chemical functional groups.

摘要

生物催化方法的广泛采用将需要广泛可用的数据库工具,这类似于之前为促进化学合成而汇编信息所做的努力。与化学试剂类似的是酶。与化学合成路线类似的是代谢途径。免费的在线数据库BRENDA就是为生物催化目的汇编有关酶的相关信息所做努力的一个例证。同样,明尼苏达大学的生物催化/生物降解数据库专注于对环境和工业生物技术有用的新型酶和代谢途径。精心策划的关于酶的对映选择性以及转化不同化学官能团能力的数据库信息越来越多,这将有助于生物催化方案的开发。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验