DNA Code Validation Using Experimental Fluorescence Measurements and Thermodynamic Calculations

Abstract

Initial stages were completed in the development of an enabling technology for DNA computing. The technology focuses on construction of a biomolecular architecture to employ new algorithmic paradigms based on DNA hybridization. The intent is to develop a computing basis so that many discrete math problems can be solved in linear real time. Methods were developed to generate and screen collections of single-stranded DNA sequences called a DNA (n,d) code. Strands of 16 nucleotides were designed such that a code strand would hybridize only with its reverse- complement and would not cross-hybridize with any other strand in the set. Strands were tested for their potential to mispair by measuring fluorescence for every possible pair of strands over varying temperatures in the presence of SYBR Green I, a dye whose fluorescence increases exponentially when bound to double-stranded DNA. Strands with potential to bind to themselves or to another sequence in the set were identified and removed from the DNA (n,d) code. Sets of up to six pooled sequences were also tested to show that this method works with sets of multiple strands. In addition, the thermodynamic parameters of binding were examined using the program PairFold. Free energies of binding are reported.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2004
Accession Number
ADA422140

Entities

People

  • Anthony Macula
  • Wendy Pogozeiski

Organizations

  • State University of New York at Albany

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Biochemistry
  • Chemical Compounds
  • Chemical Reactions
  • Chemistry
  • Cyanine Dyes
  • Detectors
  • Fluorescence
  • Free Energy
  • Hybridization
  • Measurement
  • Molecular Biology
  • Molecules
  • Polymerase Chain Reaction
  • Ribonucleic Acids
  • Sequences
  • Validation

Readers

  • Computational Modeling and Simulation
  • Molecular Genetics