Self-avoiding wormlike chain model for double-stranded-DNA loop formation

Yaroslav Pollak, Sarah Goldberg, and Roee Amit
Phys. Rev. E 90, 052602 – Published 17 November 2014

Abstract

We compute the effects of excluded volume on the probability for double-stranded DNA to form a loop. We utilize a Monte Carlo algorithm for generation of large ensembles of self-avoiding wormlike chains, which are used to compute the J factor for varying length scales. In the entropic regime, we confirm the scaling-theory prediction of a power-law drop off of 1.92, which is significantly stronger than the 1.5 power law predicted by the non-self-avoiding wormlike chain model. In the elastic regime, we find that the angle-independent end-to-end chain distribution is highly anisotropic. This anisotropy, combined with the excluded volume constraints, leads to an increase in the J factor of the self-avoiding wormlike chain by about half an order of magnitude relative to its non-self-avoiding counterpart. This increase could partially explain the anomalous results of recent cyclization experiments, in which short dsDNA molecules were found to have an increased propensity to form a loop.

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  • Received 24 August 2014

DOI:https://doi.org/10.1103/PhysRevE.90.052602

©2014 American Physical Society

Authors & Affiliations

Yaroslav Pollak*, Sarah Goldberg, and Roee Amit

  • Biotechnology and Food Engineering, Technion – Israel Institute of Technology, Haifa, Israel 32000

  • *Also at Russell Berrie Nanotechnology Institute, Technion.
  • roeeamit@technion.ac.il; also at Russell Berrie Nanotechnology Institute, Technion.

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Vol. 90, Iss. 5 — November 2014

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