IDEAS home Printed from https://ideas.repec.org/a/abf/journl/v35y2021i1p27248-27259.html
   My bibliography  Save this article

Computational Prediction of Protein-Protein Interactions in Protein Disulphide Isomerase (PDI) Protein Family in the Red Cell Membrane of PV Patient Polycythaemia Vera - Computational Proteomics Analysis

Author

Listed:
  • Akila Katuwawala

    (Department of Computer Science, School of Engineering, Virginia Commonwealth University, Richmond, Virginia, USA)

  • Anil Jayasekera

    (Department of Plant Sciences, Faculty of Science, University of Colombo, Sri Lanka)

  • Darshana Kottahachchi

    (Department of Medical Laboratory Sciences, Faculty of Allied Health Sciences, General Sir John Kotelawala Defence University, Sri Lanka)

  • Lallindra Gooneratne

    (Department of Pathology, Faculty of Medicine, University of Colombo, Sri Lanka)

Abstract

Polycythaemia Vera (PV) is considered as a serious Myelo Proliferative Neoplasm (MPN). The most characteristic feature of this disease is an abnormally...

Suggested Citation

  • Akila Katuwawala & Anil Jayasekera & Darshana Kottahachchi & Lallindra Gooneratne, 2021. "Computational Prediction of Protein-Protein Interactions in Protein Disulphide Isomerase (PDI) Protein Family in the Red Cell Membrane of PV Patient Polycythaemia Vera - Computational Proteomics Analy," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 35(1), pages 27248-27259, April.
    • Handle: RePEc:abf:journl:v:35:y:2021:i:1:p:27248-27259
    DOI: 10.26717/BJSTR.2021.35.005636
    as

    Download full text from publisher

    File URL: https://biomedres.us/pdfs/BJSTR.MS.ID.005636.pdf
    Download Restriction: no
    File URL: https://biomedres.us/fulltexts/BJSTR.MS.ID.005636.php
    Download Restriction: no
    File URL: https://libkey.io/10.26717/BJSTR.2021.35.005636?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
    ---><---

    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:abf:journl:v:35:y:2021:i:1:p:27248-27259. 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: Angela Roy (email available below). General contact details of provider: .

    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.