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Probabilistic Methods in Directed Evolution: Library Size, Mutation Rate, and Diversity

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Directed Evolution Library Creation

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1179))

Abstract

Directed evolution has emerged as an important tool for engineering proteins with improved or novel properties. Because of their inherent reliance on randomness, directed evolution protocols are amenable to probabilistic modeling and analysis. This chapter summarizes and reviews in a nonmathematical way some of the probabilistic works related to directed evolution, with particular focus on three of the most widely used methods: saturation mutagenesis, error-prone PCR, and in vitro recombination. The ultimate aim is to provide the reader with practical information to guide the planning and design of directed evolution studies. Importantly, the applications and locations of freely available computational resources to assist with this process are described in detail.

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Author information

Authors and Affiliations

  1. Department of Statistics, University of Haifa, Room 8064, Rabin Building, Haifa, 31905, Israel

    Yuval Nov

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  1. Yuval Nov
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Correspondence to Yuval Nov .

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Editors and Affiliations

  1. Chemistry and Molecular Biosciences, The University of Queensland, St. Lucia, Brisbane, Queensland, Australia

    Elizabeth M.J. Gillam

  2. Michael Smith Laboratories, University of British Columbia, Vancouver, British Columbia, Canada

    Janine N. Copp

  3. School of Biological Sciences, Victoria University, Wellington, New Zealand

    David Ackerley

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Nov, Y. (2014). Probabilistic Methods in Directed Evolution: Library Size, Mutation Rate, and Diversity. In: Gillam, E., Copp, J., Ackerley, D. (eds) Directed Evolution Library Creation. Methods in Molecular Biology, vol 1179. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-1053-3_18

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  • DOI: https://doi.org/10.1007/978-1-4939-1053-3_18

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4939-1052-6

  • Online ISBN: 978-1-4939-1053-3

  • eBook Packages: Springer Protocols

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