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Two Proteins for the Price of One: The Design of Maximally Compressed Coding Sequences

  • Bei Wang
  • Dimitris Papamichail
  • Steffen Mueller
  • Steven Skiena
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3892)

Abstract

The emerging field of synthetic biology moves beyond conventional genetic manipulation to construct novel life forms which do not originate in nature. We explore the problem of designing the provably shortest genomic sequence to encode a given set of genes by exploiting alternate reading frames. We present an algorithm for designing the shortest DNA sequence simultaneously encoding two given amino acid sequences. We show that the coding sequence of naturally occurring pairs of overlapping genes approach maximum compression. We also investigate the impact of alternate coding matrices on overlapping sequence design. Finally, we discuss an interesting application for overlapping gene design, namely the interleaving of an antibiotic resistance gene into a target gene inserted into a virus or plasmid for amplification.

Keywords

Gene Pair Antibiotic Resistance Gene Substitution Matrice Human Disease Gene Alternate Reading Frame 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Bei Wang
    • 1
  • Dimitris Papamichail
    • 2
  • Steffen Mueller
    • 3
  • Steven Skiena
    • 2
  1. 1.Dept. of Computer ScienceDuke UniversityDurhamUSA
  2. 2.Dept. of Computer ScienceState University of New YorkStony BrookUSA
  3. 3.Dept. of MicrobiologyState University of New YorkStony BrookUSA

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