IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-10629-8_69.html
   My bibliography  Save this book chapter

Stochastic Modeling of Cargo Transport by Teams of Molecular Motors

In: Traffic and Granular Flow '13

Author

Listed:
  • Sarah Klein

    (Universität des Saarlandes, Theoretical Physics
    University Paris-Sud, Laboratory of Theoretical Physics, Batiment 210)

  • Cécile Appert-Rolland

    (University Paris-Sud, Laboratory of Theoretical Physics, Batiment 210)

  • Ludger Santen

    (Universität des Saarlandes, Theoretical Physics)

Abstract

Many different types of cellular cargos are transported bidirectionally along microtubules by teams of molecular motors. The motion of this cargo-motors system has been experimentally characterized in vivo as processive with rather persistent directionality. Different theoretical approaches have been suggested in order to explore the origin of this kind of motion. An effective theoretical approach, introduced by Müller et al. [9], describes the cargo dynamics as a tug-of-war between different kinds of motors. An alternative approach has been suggested recently by Kunwar et al. [7], who considered the coupling between motor and cargo in more detail.Based on this framework we introduce a model considering single motor positions which we propagate in continuous time. Furthermore, we analyze the possible influence of the discrete time update schemes used in previous publications on the system’s dynamic.

Suggested Citation

  • Sarah Klein & Cécile Appert-Rolland & Ludger Santen, 2015. "Stochastic Modeling of Cargo Transport by Teams of Molecular Motors," Springer Books, in: Mohcine Chraibi & Maik Boltes & Andreas Schadschneider & Armin Seyfried (ed.), Traffic and Granular Flow '13, edition 127, pages 609-617, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-10629-8_69
    DOI: 10.1007/978-3-319-10629-8_69
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-319-10629-8_69. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.