Speeding up enzyme engineering computationally

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...

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Detalles Bibliográficos
Autor principal: Scrutton, Nigel S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2016
Materias:
Scientific Commentaries
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5331461/
https://www.ncbi.nlm.nih.gov/pubmed/28250937
http://dx.doi.org/10.1107/S2052252516019692
Descripción
Sumario: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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