...
首页> 外文期刊>Advanced synthesis & catalysis >A Systematic Analysis of the Substrate Scope of (S)- and (R)-Selective Amine Transaminases
【24h】

A Systematic Analysis of the Substrate Scope of (S)- and (R)-Selective Amine Transaminases

机译:对(S) - 和(R) - 选择性胺转氨酶基底范围的系统分析

获取原文
获取原文并翻译 | 示例
           

摘要

Amine transaminases (ATAs) have emerged as an important group of biocatalysts for the synthesis of optically pure amines over the past few decades. In the same way, the amount of available data for ATA-catalyzed reactions has increased significantly, forming the basis for a deeper understanding of this versatile group of enzymes. These data provide a high potential for relevant information if they can be structured and analyzed appropriately, especially for the identification of suitable ATAs for a certain reaction of interest. Following this intention, we started to collect reaction data from the literature for five (S)-selective and seven (R)-selective ATAs, focusing on conversion and enantiomeric excess values as important indicators for activity and selectivity. This resulted in a data collection of almost 500 ATA-catalyzed reactions subdivided into four distinctive substrate classes. Our comparative analysis using a data processing system based on function point analysis created a ranking of the most suitable ATAs for each substrate class, which is illustrated by graphics enabling the quick identification of matching enzymes and substrate combinations. This is accompanied by detailed information from the collected literature to serve as further guidance to choose the most suitable ATA for a reaction of interest. In addition, the presented categorization algorithm is provided in form of a free accessible R script that allows a simple reproduction of analysis results as well as its application to further types of enantioselective biocatalysts.
机译:胺转氨酶(ATAS)已成为过去几十年来合成光学纯胺的重要生物催化剂。以同样的方式,用于ATA催化反应的可用数据量显着增加,形成了更深入地理解这种通用酶组的基础。这些数据如果可以适当地构建和分析,则提供相关信息的高潜力,特别是为了鉴定适当的ATA,以实现某种感兴趣的反应。在此目的之后,我们开始从文献中收集来自文献的反应数据,七(R)选择ATAS,重点关注转化和对映体过量值作为活动和选择性的重要指标。这导致近500个ATA催化反应的数据收集细分为四个独特的衬底等级。我们使用基于功能点分析的数据处理系统的比较分析为每个基板类的最合适的ATA进行了排名,其通过图形来说明,使得能够快速识别匹配酶和衬底组合。这伴随着所收集的文献的详细信息,以便进一步指导,以便为利息反应选择最合适的ATA。另外,呈现的分类算法以自由可接近的R脚本的形式提供,其允许简单地再现分析结果以及其应用于其他类型的映选择性生物催化剂。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号