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Related Experiment Videos

SSCP primer design based on single-strand DNA structure predicted by a DNA folding program

D A Nielsen1, A Novoradovsky, D Goldman

  • 1Section of Molecular Genetics, NIAAA, NIH, Bethesda, MD 20892-0001, USA.

Nucleic Acids Research
|June 25, 1995
PubMed
Summary

This study modified an RNA folding program to predict single-strand DNA folding and mobility shifts in gels. The new DNA-Fold 1.0 program accurately predicts DNA secondary structure alterations.

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Area of Science:

  • Molecular Biology
  • Biophysics

Background:

  • Predicting single-strand DNA (ssDNA) secondary structure and mobility in non-denaturing gels is crucial for analyzing genetic variations.
  • Existing RNA folding algorithms require modification to accurately model DNA thermodynamics and base pairing rules.

Purpose of the Study:

  • To adapt an existing RNA folding algorithm for predicting ssDNA secondary structure and conformational changes.
  • To develop a computational tool for designing primers that induce or abolish Single-Strand Conformation Polymorphism (SSCP) mobility shifts.

Main Methods:

  • Modified Zuker's RNA folding program (LRNA) by adjusting energy files for DNA thermodynamics, disallowing G-T pairing, and removing loop constraints.
  • Applied the modified algorithm (DNA-Fold 1.0) to predict folding of PCR-generated ssDNA from human ALDH2 and TPH alleles.

Related Experiment Videos

  • Designed primers using DNA-Fold 1.0 to create or eliminate SSCP mobility shifts, altering 5' tag sequences or internal complementarity.
  • Main Results:

    • The DNA-Fold 1.0 program successfully predicted alterations in ssDNA secondary structure.
    • SSCP analysis confirmed that predicted conformational changes corresponded to observed mobility shifts.
    • Primer design based on DNA-Fold 1.0 predictions effectively manipulated SSCP mobility.

    Conclusions:

    • The modified RNA folding algorithm, DNA-Fold 1.0, is a viable tool for predicting ssDNA secondary structure and conformational alterations.
    • This approach enables the design of primers for targeted manipulation of SSCP mobility shifts, aiding in genetic analysis.