Literature DB >> 10223666

Modeling DNA shuffling.

F Sun1.   

Abstract

In vitro evolution is a new, important laboratory method to evolve molecules with desired properties. It has been used in a variety of biological studies and drug development. In this paper, we study one important mutagenesis method used in in vitro evolution experiments called DNA shuffling. We construct a mathematical model for DNA shuffling and study the properties of molecules after DNA shuffling experiments based on this model. The model for DNA shuffling consists of two parts. First we apply the Lander-Waterman model for physical mapping by fingerprinting random clones to model the distribution of regions that can be reassembled through DNA shuffling. Then we present a model for recombination between different DNA species with different mutations. We compare our theoretical results with experimental data. Finally we propose novel applications of the theoretical results to the optimal design of DNA shuffling experiments and to physical mapping using DNA shuffling.

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Year:  1999        PMID: 10223666     DOI: 10.1089/cmb.1999.6.77

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  4 in total

1.  Computational and experimental analysis of DNA shuffling.

Authors:  Narendra Maheshri; David V Schaffer
Journal:  Proc Natl Acad Sci U S A       Date:  2003-03-07       Impact factor: 11.205

Review 2.  Using evolutionary computations to understand the design and evolution of gene and cell regulatory networks.

Authors:  Alexander Spirov; David Holloway
Journal:  Methods       Date:  2013-05-30       Impact factor: 3.608

3.  Algorithms for optimizing cross-overs in DNA shuffling.

Authors:  Lu He; Alan M Friedman; Chris Bailey-Kellogg
Journal:  BMC Bioinformatics       Date:  2012-03-21       Impact factor: 3.169

4.  DNA secondary structure formation by DNA shuffling of the conserved domains of the Cry protein of Bacillus thuringiensis.

Authors:  Efrain H Pinzon; Daniel A Sierra; Miguel O Suarez; Sergio Orduz; Alvaro M Florez
Journal:  BMC Biophys       Date:  2017-05-22       Impact factor: 4.778

  4 in total

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