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Ring closure probabilities for DNA fragments by Monte Carlo simulation.

S D Levene, D M Crothers

    Journal of Molecular Biology
    |May 5, 1986
    PubMed
    Summary

    This study uses Monte Carlo simulations to calculate the DNA j-factor, revealing its sensitivity to DNA bending. Results align with experimental data, suggesting j-factor measurements can study sequence-directed DNA bending.

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    Area of Science:

    • Molecular Biology
    • Biophysics
    • Computational Biology

    Background:

    • The j-factor quantifies DNA cyclization probability, reflecting thermal fluctuations in DNA bending and twisting.
    • Understanding DNA flexibility is crucial for various biological processes.

    Purpose of the Study:

    • To theoretically investigate DNA cyclization equilibria using a Monte Carlo method.
    • To determine the chain length dependence of the j-factor for DNA molecules.
    • To assess the sensitivity of the j-factor to DNA bending.

    Main Methods:

    • A specialized Monte Carlo method was employed to generate large ensembles of model DNA chains.
    • Calculated the j-factor for DNA molecules ranging from 250 to 2000 base-pairs.
    • Compared simulation results with analytical theories and experimental data.

    Main Results:

    • The Monte Carlo method accurately reproduced experimental and theoretical results for the j-factor.
    • A DNA persistence length of 475 Å was found to be in excellent agreement with cyclization data.
    • The j-factor demonstrated high sensitivity to systematic bending in DNA fragments.

    Conclusions:

    • Monte Carlo simulations provide a robust method for studying DNA cyclization.
    • The persistence length of DNA is consistent with values obtained through various experimental techniques.
    • Ligase closure measurements of bent DNA molecules offer a promising approach for studying sequence-directed DNA bending.

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