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Computational method to reduce the search space for directed protein evolution

We introduce a computational method to optimize the in vitro evolution of proteins. Simulating evolution with a simple model that statistically describes the fitness landscape, we find that beneficial mutations tend to occur at amino acid positions that are tolerant to substitutions, in the limit of...

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Detalles Bibliográficos
Main Authors: Voigt, Christopher A., Mayo, Stephen L., Arnold, Frances H., Wang, Zhen-Gang
Formato: Artigo
Idioma:Inglês
Publicado: The National Academy of Sciences 2001
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC31129/
https://ncbi.nlm.nih.gov/pubmed/11274394
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.051614498
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