Literature DB >> 9425664

Applications of DNA shuffling to pharmaceuticals and vaccines.

P A Patten1, R J Howard, W P Stemmer.   

Abstract

DNA shuffling is a practical process for directed molecular evolution which uses recombination to dramatically accelerate the rate at which one can evolve genes. Single and multigene traits that require many mutations for improved phenotypes can be evolved rapidly. DNA shuffling technology has been significantly enhanced in the past year, extending its range of applications to small molecule pharmaceuticals, pharmaceutical proteins, gene therapy vehicles and transgenes, vaccines and evolved viruses for vaccines, and laboratory animal models.

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Year:  1997        PMID: 9425664     DOI: 10.1016/s0958-1669(97)80127-9

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  23 in total

Review 1.  Antibody-based resistance to plant pathogens.

Authors:  S Schillberg; S Zimmermann; M Y Zhang; R Fischer
Journal:  Transgenic Res       Date:  2001       Impact factor: 2.788

Review 2.  Substrate-assisted catalysis: molecular basis and biological significance.

Authors:  W Dall'Acqua; P Carter
Journal:  Protein Sci       Date:  2000-01       Impact factor: 6.725

3.  Predicting crossover generation in DNA shuffling.

Authors:  G L Moore; C D Maranas; S Lutz; S J Benkovic
Journal:  Proc Natl Acad Sci U S A       Date:  2001-03-13       Impact factor: 11.205

4.  A hierarchical approach to protein molecular evolution.

Authors:  L D Bogarad; M W Deem
Journal:  Proc Natl Acad Sci U S A       Date:  1999-03-16       Impact factor: 11.205

Review 5.  Microbial polyketide synthases: more and more prolific.

Authors:  C R Hutchinson
Journal:  Proc Natl Acad Sci U S A       Date:  1999-03-30       Impact factor: 11.205

Review 6.  Improving the quality of industrially important enzymes by directed evolution.

Authors:  R R Chirumamilla; R Muralidhar; R Marchant; P Nigam
Journal:  Mol Cell Biochem       Date:  2001-08       Impact factor: 3.396

7.  eCodonOpt: a systematic computational framework for optimizing codon usage in directed evolution experiments.

Authors:  Gregory L Moore; Costas D Maranas
Journal:  Nucleic Acids Res       Date:  2002-06-01       Impact factor: 16.971

8.  Multiple genetic pathways to similar fitness limits during viral adaptation to a new host.

Authors:  Andre H Nguyen; Ian J Molineux; Rachael Springman; James J Bull
Journal:  Evolution       Date:  2011-09-20       Impact factor: 3.694

9.  Modulation of base-specific mutation and recombination rates enables functional adaptation within the context of the genetic code.

Authors:  Taison Tan; Leonard D Bogarad; Michael W Deem
Journal:  J Mol Evol       Date:  2004-09       Impact factor: 2.395

Review 10.  Laboratory-directed protein evolution.

Authors:  Ling Yuan; Itzhak Kurek; James English; Robert Keenan
Journal:  Microbiol Mol Biol Rev       Date:  2005-09       Impact factor: 11.056

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