• Login
    • Library Home
    View Item 
    •   BracU IR
    • School of Data and Sciences (SDS)
    • Department of Mathematics and Natural Sciences (MNS)
    • Bachelor of Science in Biotechnology
    • Thesis (Bachelor of Science in Biotechnology)
    • View Item
    •   BracU IR
    • School of Data and Sciences (SDS)
    • Department of Mathematics and Natural Sciences (MNS)
    • Bachelor of Science in Biotechnology
    • Thesis (Bachelor of Science in Biotechnology)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Computational structural analysis and modeling of plant PRR DORN1 ectodomain

    Thumbnail
    View/Open
    15136017_MNS (1).pdf (4.052Mb)
    Date
    2019-06
    Publisher
    BRAC University
    Author
    Siddiqui, Aorchie
    Metadata
    Show full item record
    URI
    http://hdl.handle.net/10361/12510
    Abstract
    DORN1 also known as P2K1 is the first member of the plant-specific purinoreceptor subfamily termed P2K and belongs to the vast gene family of legume-type (L-type) lectin receptor kinases. Research has shown that DORN1 recognizes extracellular ATP (eATP) with high affinity, which likely plays a role as a central danger signaling molecule in many plant stress response pathways. However, a lack of information on the tertiary structure of the L-type lectin ligand binding domain of DORN1 hinders efforts to fully explain the recognition and signaling mechanisms of DORN1. To date there exist no experimentally determined structure of DORN1 in protein databases as a result using computational approaches; ab-initio and comparative modeling techniques provide an alternative and reliable method in predicting the structure and thus the function accordingly
    Keywords
    DORN1; ATP (eATP); Computational structural
     
    LC Subject Headings
    Computational biology.; Structural bioinformatics.
     
    Description
    This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Biotechnology, 2019.
     
    Cataloged from PDF version of thesis.
     
    Includes bibliographical references (pages 65-71).
    Department
    Department of Mathematics and Natural Sciences, Brac University
    Collections
    • Thesis (Bachelor of Science in Biotechnology)

    Copyright © 2008-2019 Ayesha Abed Library, Brac University 
    Contact Us | Send Feedback
     

     

    Policy Guidelines

    • BracU Policy
    • Publisher Policy

    Browse

    All of BracU Institutional RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    Copyright © 2008-2019 Ayesha Abed Library, Brac University 
    Contact Us | Send Feedback