• DocumentCode
    2996072
  • Title

    The fidelity of the tag-antitag system II: reconciliation with the stringency picture

  • Author

    Rose, John A. ; Hagiya, Masami ; Suyama, Akira

  • Author_Institution
    Dept. of Comput. Sci., Tokyo Univ., Japan
  • Volume
    4
  • fYear
    2003
  • fDate
    8-12 Dec. 2003
  • Firstpage
    2740
  • Abstract
    An equilibrium model was reported for predicting the hybridization error of a tag-antitag (TAT) system in response to a dilute input [J. Rose, et al., in DNA Computing, (Springer, 2001), 138]. One notable aspect of the model was its disagreement with the error behavior expected via a consideration of the melting temperatures (T´ms) of planned and error TAT duplexes, in isolation (the stringency picture). In this work, an equilibrium approach is applied to model TAT system error in response to a general, single-tag input. This model is implemented, using two-state and statistical zipper models of duplex formation, via Mathematica™ and NucleicPark, respectively. Under appropriate nondilute conditions (high unplanned sequence-similarity; equimolar/excess input), an error minimum is predicted between the T´ms of planned and unplanned TAT duplexes, as expected via stringency considerations, providing a reconciliation between the two models of hybridization fidelity. On the other hand, predictions for a dilute input agree closely with the model in Rose, et al., supporting the view that a Tm-based model is not fully adequate. A TAT set is then reported, evolved to support experimental validation, which exhibits excess input, signal-to-noise ratios that uniformly span the dynamic range of current fluorescence measurement equipment.
  • Keywords
    DNA; biology computing; error statistics; Mathematica; NucleicPark; duplex formation; error analysis; statistical zipper model; tag-antitag system; Bioinformatics; Computer science; DNA computing; Fluorescence; Genomics; Predictive models; Probes; RNA; Sequences; Temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
  • Print_ISBN
    0-7803-7804-0
  • Type

    conf

  • DOI
    10.1109/CEC.2003.1299435
  • Filename
    1299435