Literature DB >> 17041263

Protein library design and screening: working out the probabilities.

Michel Denault1, Joelle N Pelletier.   

Abstract

In designing protein libraries for selection, we must coordinate our capacity to create a large diversity of protein variants with the physical limitations of what we can actually screen. This chapter aims to bring the language of probabilities into the protein engineer's laboratory to answer some of our common questions: How can we most efficiently design a library? What fraction of the theoretical library diversity have we actually sampled at the end of the day? What is the probability of missing an individual of the library? Are the mutations present in the variants we have selected statistically meaningful or the product of random variation? The computation of these criteria throughout the process of experimental protein engineering will enable us to better design and evaluate the products of our libraries of protein variants.

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Year:  2007        PMID: 17041263     DOI: 10.1385/1-59745-187-8:127

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

1.  New efficient recombinant expression system to engineer Candida antarctica lipase B.

Authors:  Stéphane Emond; Cédric Montanier; Jean-Marc Nicaud; Alain Marty; Pierre Monsan; Isabelle André; Magali Remaud-Siméon
Journal:  Appl Environ Microbiol       Date:  2010-02-19       Impact factor: 4.792

2.  Biomathematical description of synthetic peptide libraries.

Authors:  Timo Sieber; Eric Hare; Heike Hofmann; Martin Trepel
Journal:  PLoS One       Date:  2015-06-04       Impact factor: 3.240

3.  Economical analysis of saturation mutagenesis experiments.

Authors:  Carlos G Acevedo-Rocha; Manfred T Reetz; Yuval Nov
Journal:  Sci Rep       Date:  2015-07-20       Impact factor: 4.379

  3 in total

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