Investigation of a Sybr-Green-Based Method to Validate DNA Sequences for DNA Computing

Abstract

This project validated the generation of DNA sequences called a DNA (n,d) code. Fifteen strands of 16 nucleotides each were designed such that a code strand would hybridize only with its reverse-complement and would not cross- hybridize or miss-pair with any other strand in the set. The code was designed using principles from nearest-neighbor studies and the thermodynamics of base stacking. All possible combinations of strands were tested for their potential to miss-pair. Hybridizations of the sequences representing junctions of strands were also tested. Strands were tested for their potential to cross-hybridize by measuring fluorescence over varying temperatures in the presence of SYBR Green Strands were tested in pools to show that hybridization between Watson-Crick complements is still thermodynamically favorable even when all strands are present. Nearly all twenty strands and 56 junction sequences showed suitable preference for their direct complement and did not appreciably miss-pair with any other strand in the code. The general properties and modes of binding of SYBR Green I were explored. The experiments indicate that SYBR Green I is positively-charged and binds to DNA predominantly via electrostatic interactions and groove binding. Its fluorescence increases with the number of base pairs in a predictable manner.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2005
Accession Number
ADA435503

Entities

People

  • Anthony Macula
  • Matthew Bernard
  • Salvatore Priore
  • Wendy Pogozelski

Organizations

  • State University of New York at Geneseo

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Acids
  • Air Force Research Laboratories
  • Biochemistry
  • Chemical Compounds
  • Chemistry
  • Cyanine Dyes
  • Detection
  • Detectors
  • Fluorescence
  • Hybridization
  • Molecular Biology
  • Nucleic Acids
  • Nucleotides
  • Ribonucleic Acids
  • Sequences
  • Spreadsheet Software
  • Thermodynamics

Fields of Study

  • Biology

Readers

  • Molecular Genetics