• DocumentCode
    2248651
  • Title

    Estimation of nonlinear sequence-dependent constitutive law for DNA molecules

  • Author

    Palanthandalam-Madapusi, Harish J. ; Goyal, Sachin

  • Author_Institution
    Dept. of Mech. & Aerosp. Eng., Syracuse Univ., Syracuse, NY, USA
  • fYear
    2008
  • fDate
    9-11 Dec. 2008
  • Firstpage
    2674
  • Lastpage
    2679
  • Abstract
    Long length-scale structural deformations of DNA play a central role in many biological processes including gene expression. While all-atom based molecular dynamics (MD) tools fall short to simulate the long-length and time scale mechanics of DNA, continuum rod model of DNA has emerged as a viable tool. The continuum rod model predictions are however very sensitive to the constitutive law (material properties) of the molecule which, in turn, vary along the molecule¿s length according to its base-pair sequence. Identification of the sequence-dependent constitutive law from experimental data and feasible all-atom MD simulations remains a significant challenge. The primary goal of the paper is to formulate the general identification problem in a form that is amenable to system identification/estimation methods. To this end, we suggest several simplifications to the continuum rod model of DNA. Finally, we suggest a possible approach to solving the identification problem for a simplified case with a nonlinear constitutive law. A secondary goal of this paper is to bring this important problem to the attention of the system identification community.
  • Keywords
    DNA; biocomputing; identification; molecular dynamics method; DNA molecules; biological processes; continuum rod model; gene expression; molecular dynamics; nonlinear sequence-dependent constitutive law; system estimation; system identification; Biological information theory; Biological processes; Biological system modeling; Bonding; Chemicals; DNA; Genetics; Proteins; Sequences; System identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
  • Conference_Location
    Cancun
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3123-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2008.4739125
  • Filename
    4739125