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COMPUTATIONAL PROTEIN DESIGN TO ACCELERATE THE CONCEPTION OF FINE-TUNED BIOCATALYSTS

机译:计算蛋白质设计加速微调生物催化剂的概念

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The remarkable properties of enzymes (high catalytic efficiency, regio- and stereo-selectivity) have been recognized and largely exploited in biocatalysis. Accordingly, enzyme-driven processes should play an increasing role in the next decades, potentially substituting chemical processes and contributing to the raise of bioeconomy. However, to foresee a viable future to biocatalysis, advances in R&D are required to accelerate the delivery of fine-tuned enzymes displaying high chemical specificity on non-cognate substrates, high efficiency and better stability in reaction conditions. To this end, structure-based Computational Protein Design (CPD) is a promising strategy to fully rationalize and speed-up the conception of new enzymes while reducing associated human and financial costs.
机译:已经认识到酶的显着性质(高催化效率,测定和立体选择性)并在生物催化方面具有很大程度上利用。因此,酶驱动过程应在未来几十年中发挥越来越大的作用,可能替代化学过程并有助于生物经济升级。然而,为了预见到生物分析的可行的未来,R&D的进步需要加速在非同源底物上显示出高化学特异性的微调酶,高效率和在反应条件下更好的稳定性。为此,基于结构的计算蛋白质设计(CPD)是一个有希望的策略,以完全合理化和加速新酶的概念,同时减少相关的人类和财务成本。

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