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Classification and predictions of RNA pseudoknots based on topological invariants

Graziano Vernizzi, Henri Orland, and A. Zee
Phys. Rev. E 94, 042410 – Published 12 October 2016

Abstract

We propose a new topological characterization of ribonucleic acid (RNA) secondary structures with pseudoknots based on two topological invariants. Starting from the classic arc representation of RNA secondary structures, we consider a model that couples both (i) the topological genus of the graph and (ii) the number of crossing arcs of the corresponding primitive graph. We add a term proportional to these topological invariants to the standard free energy of the RNA molecule, thus obtaining a novel free-energy parametrization that takes into account the abundance of topologies of RNA pseudoknots observed in RNA databases.

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  • Received 16 May 2016

DOI:https://doi.org/10.1103/PhysRevE.94.042410

©2016 American Physical Society

Physics Subject Headings (PhySH)

  1. Physical Systems
  1. Techniques
Physics of Living Systems

Authors & Affiliations

Graziano Vernizzi1,*, Henri Orland2,3,4, and A. Zee2,4,5

  • 1Department of Physics and Astronomy, Siena College, New York, USA
  • 2Institut de Physique Théorique, CEA Saclay, 91191 Gif-sur-Yvette Cedex, France
  • 3Beijing Computational Science Research Center, Haidian District Beijing, 100084, China
  • 4Department of Physics, University of California, Santa Barbara, CA 93106, USA
  • 5Kavli Institute for Theoretical Physics, University of California, Santa Barbara, CA 93106, USA

  • *gvernizzi@siena.edu (Graziano Vernizzi), Henri.Orland@cea.fr (Henri Orland), zee@kitp.ucsb.edu (A. Zee).

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Issue

Vol. 94, Iss. 4 — October 2016

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