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Assessing directed evolution methods for the generation of biosynthetic enzymes with potential in drug biosynthesis

机译:评估定向进化方法以产生具有药物生物合成潜力的生物合成酶

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摘要

To address the synthesis of increasingly structurally diverse small-molecule drugs, methods for the generation of efficient and selective biological catalysts are becoming increasingly important. ‘Directed evolution’ is an umbrella term referring to a variety of methods for improving or altering the function of enzymes using a nature-inspired twofold strategy of mutagenesis followed by selection. This article provides an objective assessment of the effectiveness of directed evolution campaigns in generating enzymes with improved catalytic parameters for new substrates from the last decade, excluding studies that aimed to select for only improved physical properties and those that lack kinetic characterization. An analysis of the trends of methodologies and their success rates from 81 qualifying examples in the literature reveals the average fold improvement for kcat (or Vmax), Km and kcat/Km to be 366-, 12- and 2548-fold, respectively, whereas the median fold improvements are 5.4, 3 and 15.6. Further analysis by enzyme class, library-generation methodology and screening methodology explores relationships between successful campaigns and the methodologies employed.
机译:为了解决结构上越来越多样化的小分子药物的合成,用于产生有效和选择性的生物催化剂的方法变得越来越重要。 “定向进化”是一个总称,指的是多种方法,这些方法使用自然界启发的双重诱变策略,然后进行选择,来改善或改变酶的功能。本文提供了有关定向进化运动在产生酶方面的有效性的客观评估,该酶在过去十年中对新的底物具有改进的催化参数,但不包括旨在仅选择改善的物理性质和缺乏动力学特性的研究。从文献中81个合格实例中对方法学趋势及其成功率进行的分析表明,kcat(或Vmax),Km和kcat / Km的平均倍数分别提高了366倍,12倍和2548倍,而平均倍数改善为5.4、3和15.6。通过酶类别,文库生成方法和筛选方法的进一步分析探索了成功战役与所采用方法之间的关系。

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