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10.1107/S2052252516019692

http://scihub22266oqcxt.onion/10.1107/S2052252516019692
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C5331461!5331461 !28250937
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suck abstract from ncbi


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pmid28250937
      IUCrJ 2017 ; 4 (Pt 1 ): 5-6
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  • Speeding up enzyme engineering computationally #MMPMID28250937
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  • IUCrJ 2017[Jan]; 4 (Pt 1 ): 5-6 PMID28250937 show ga
  • Can in silico engineering speed up the delivery of biocatalysts for the burgeoning bioeconomy? In this issue, Kamerlin and coworkers introduce CADEE [Amrein et al. (2017), IUCrJ, 4, 50-64] - a framework for Computer-Aided Directed Evolution of Enzymes - that promises to lessen the burden on 'wet lab' enzymologists when optimizing biocatalysts using laboratory-based directed evolution methods.
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