IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v6y2015i1d10.1038_ncomms8588.html
   My bibliography  Save this article

Allostery through the computational microscope: cAMP activation of a canonical signalling domain

Author

Listed:
  • Robert D. Malmstrom

    (University of California
    National Biomedical Computation Resource, University of California)

  • Alexandr P. Kornev

    (University of California)

  • Susan S. Taylor

    (University of California
    University of California)

  • Rommie E. Amaro

    (University of California
    National Biomedical Computation Resource, University of California)

Abstract

Ligand-induced protein allostery plays a central role in modulating cellular signalling pathways. Here using the conserved cyclic nucleotide-binding domain of protein kinase A’s (PKA) regulatory subunit as a prototype signalling unit, we combine long-timescale, all-atom molecular dynamics simulations with Markov state models to elucidate the conformational ensembles of PKA’s cyclic nucleotide-binding domain A for the cAMP-free (apo) and cAMP-bound states. We find that both systems exhibit shallow free-energy landscapes that link functional states through multiple transition pathways. This observation suggests conformational selection as the general mechanism of allostery in this canonical signalling domain. Further, we expose the propagation of the allosteric signal through key structural motifs in the cyclic nucleotide-binding domain and explore the role of kinetics in its function. Our approach integrates disparate lines of experimental data into one cohesive framework to understand structure, dynamics and function in complex biological systems.

Suggested Citation

  • Robert D. Malmstrom & Alexandr P. Kornev & Susan S. Taylor & Rommie E. Amaro, 2015. "Allostery through the computational microscope: cAMP activation of a canonical signalling domain," Nature Communications, Nature, vol. 6(1), pages 1-11, November.
  • Handle: RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms8588
    DOI: 10.1038/ncomms8588
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/ncomms8588
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/ncomms8588?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hongyu Zhou & Zheng Dong & Gennady Verkhivker & Brian D Zoltowski & Peng Tao, 2019. "Allosteric mechanism of the circadian protein Vivid resolved through Markov state model and machine learning analysis," PLOS Computational Biology, Public Library of Science, vol. 15(2), pages 1-28, February.

    More about this item

    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:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms8588. 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.nature.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.