IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v368y2006i2p595-606.html
   My bibliography  Save this article

Elucidation of conserved long-range interaction networks in proteins and their significance in determining protein topology

Author

Listed:
  • Higman, Victoria A.
  • Greene, Lesley H.

Abstract

Investigations into the nature of sequence and structural conservation underlying protein folds have recently yielded profound insights into the mechanism of protein folding and stability. Combining this avenue of research with principles being pioneered in the field of network science holds the promise to further extend the boundaries of our knowledge. In this report we propose that critical determinants of a protein's native topology are encoded by a conserved network of interactions between amino acids from geographically important positions. This hypothesis is based on the novel elucidation of a conserved network of long-range interactions within a set of proteins that share a Greek-key topology and similar chain length, but differ in secondary structure composition, function and sequence. Exploratory macromolecular simulations using the conserved networks as constraints were successful in generating the gross native-like topology from a random linear coil for each of the model proteins. The results indicate that the conserved network contains governing features and supports the idea that the geographical location of these residue interactions is a pivotal feature underlying their conservation. The partially folded model proteins also display a clear scale-free distribution of long-range interactions. To further test the hypothesis, the network parameter betweeness-centrality was calculated for the protein structure networks of our model proteins and highlights two structural elements as particularly vital to the structural stability of the network topology.

Suggested Citation

  • Higman, Victoria A. & Greene, Lesley H., 2006. "Elucidation of conserved long-range interaction networks in proteins and their significance in determining protein topology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 368(2), pages 595-606.
  • Handle: RePEc:eee:phsmap:v:368:y:2006:i:2:p:595-606
    DOI: 10.1016/j.physa.2006.01.062
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437106001014
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2006.01.062?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Craciun, Dana & Isvoran, Adriana & Avram, N.M., 2009. "Long range correlation of hydrophilicity and flexibility along the calcium binding protein chains," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(21), pages 4609-4618.

    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:eee:phsmap:v:368:y:2006:i:2:p:595-606. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.