首页> 外文OA文献 >An efficient approach to bioconversion kinetic model generation based on automated microscale experimentation integrated with model driven experimental design
【2h】

An efficient approach to bioconversion kinetic model generation based on automated microscale experimentation integrated with model driven experimental design

机译:基于自动微型实验和模型驱动实验设计的生物转化动力学模型生成的有效方法

摘要

Reliable models of enzyme kinetics are required for the effective design of bioconversion processes. Kinetic expressions of the enzyme-catalysed reaction rate however, are frequently complex and establishing accurate values of kinetic parameters normally requires a large number of experiments. These can be both time consuming and expensive when working with the types of non-natural chiral intermediates important in pharmaceutical syntheses. This paper presents ail automated microscale approach to the rapid and cost effective generation of reliable kinetic models useful for bioconversion process design. It incorporates a model driven approach to the experimental design that minimises the number of experiments to be performed, while still generating accurate values of kinetic parameters. The approach has been illustrated with the transketolase mediated asymmetric synthesis of L-erythrulose. Experiments were performed using automated microwell studies at the 150 or 800 mu L scale. The derived kinetic parameters were then verified in a second round of experiments where model predictions showed excellent agreement with experimental data obtained under conditions not included in the original experimental design.]it comparison with conventional methodology, the modelling approach enabled a nearly 4-fold decrease in the number of experiments while the microwell experimentation enabled a 45-fold decrease in material requirements and a significant increase in experimental throughput. The approach is generic and could be applied to a wide range of enzyme catalysed bioconversions. (C) 2008 Elsevier Ltd. All rights reserved.
机译:有效设计生物转化过程需要可靠的酶动力学模型。然而,酶催化反应速率的动力学表达通常是复杂的,建立动力学参数的准确值通常需要进行大量实验。当使用药物合成中重要的非天然手性中间体时,这些方法既耗时又昂贵。本文介绍了一种自动化的微型方法,可快速,经济高效地生成可用于生物转化过程设计的可靠动力学模型。它在实验设计中采用了模型驱动的方法,该方法可以最大程度地减少要执行的实验数量,同时仍能生成准确的动力学参数值。已经通过转酮醇酶介导的L-赤藓糖的不对称合成说明了该方法。使用自动化微孔研究以150或800μL规模进行实验。然后,在第二轮实验中验证了衍生的动力学参数,其中模型预测显示与在原始实验设计未包括的条件下获得的实验数据非常吻合。]与传统方法相比,建模方法可将结果减少近4倍在进行微孔实验时,材料数量减少了45倍,并且实验通量显着提高。该方法是通用的,可应用于多种酶催化的生物转化。 (C)2008 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利

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