IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v391y2012i22p5473-5478.html
   My bibliography  Save this article

Frequency–rank correlations of rhodopsin mutations with tuned hydropathic roughness based on self-organized criticality

Author

Listed:
  • Phillips, J.C.

Abstract

The behavior of disease-linked mutations of membrane proteins is especially simple in rhodopsin, where they are well-studied, as they are responsible for retinitis pigmentosa, RP (retinal degeneration). Here we show that the frequency of occurrence of single RP mutations is strongly influenced by their transportational survival rates, and that this survival correlates well (82%) with a long-range, non-local hydropathic measure of the roughness of the water interfaces of ex-membrane rhodopsin based on self-organized criticality (SOC). It is speculated that this concept may be generally useful in studying survival rates of many mutated proteins.

Suggested Citation

  • Phillips, J.C., 2012. "Frequency–rank correlations of rhodopsin mutations with tuned hydropathic roughness based on self-organized criticality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5473-5478.
  • Handle: RePEc:eee:phsmap:v:391:y:2012:i:22:p:5473-5478
    DOI: 10.1016/j.physa.2012.06.020
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437112005249
    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.2012.06.020?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.

    References listed on IDEAS

    as
    1. Moret, M.A., 2011. "Self-organized critical model for protein folding," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(17), pages 3055-3059.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Monteiro, R.L.S. & Fontoura, J.R.A. & Carneiro, T.K.G. & Moret, M.A. & Pereira, H.B.B., 2014. "Evolution based on chromosome affinity from a network perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 403(C), pages 276-283.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xu, Xiu-Lian & Shi, Jin-Xuan & Wang, Jun & Li, Wenfei, 2021. "Long-range correlation and critical fluctuations in coevolution networks of protein sequences," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).

    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:391:y:2012:i:22:p:5473-5478. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.