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Single-molecule stretching experiments of flexible (wormlike) chain molecules in different ensembles: Theory and a potential application of finite chain length effects to nick-counting in DNA.
Everaers, Ralf; Becker, Nils B; Rosa, Angelo.
Afiliação
  • Everaers R; Université Lyon, ENS de Lyon, CNRS, Laboratoire de Physique and Centre Blaise Pascal, F-69342 Lyon, France.
  • Becker NB; German Cancer Research Center, Neuenheimer Feld 580, D-69120 Heidelberg, Germany.
  • Rosa A; Scuola Internazionale Superiore di Studi Avanzati (SISSA), Via Bonomea 265, 34136 Trieste, Italy.
J Chem Phys ; 154(2): 024903, 2021 Jan 14.
Article em En | MEDLINE | ID: mdl-33445920
ABSTRACT
We propose a formalism for deriving force-elongation and elongation-force relations for flexible chain molecules from analytical expressions for their radial distribution function, which provides insight into the factors controlling the asymptotic behavior and finite chain length corrections. In particular, we apply this formalism to our previously developed interpolation formula for the wormlike chain end-to-end distance distribution. The resulting expression for the asymptotic limit of infinite chain length is of similar quality to the numerical evaluation of Marko and Siggia's variational theory and considerably more precise than their interpolation formula. A comparison to numerical data suggests that our analytical finite chain length corrections achieve a comparable accuracy. As an application of our results, we discuss the possibility of inferring the time-dependent number of nicks in single-molecule stretching experiments on double-stranded DNA from the accompanying changes in the effective chain length.
Assuntos

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Simulação por Computador / DNA Tipo de estudo: Health_economic_evaluation / Prognostic_studies Idioma: En Revista: J Chem Phys Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Simulação por Computador / DNA Tipo de estudo: Health_economic_evaluation / Prognostic_studies Idioma: En Revista: J Chem Phys Ano de publicação: 2021 Tipo de documento: Article