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    Computational identification of candidate nucleotide cyclases in higher plants

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    Type
    Article
    Authors
    Wong, Aloysius Tze cc
    Gehring, Christoph A cc
    KAUST Department
    Biological and Environmental Sciences and Engineering (BESE) Division
    Bioscience Program
    Molecular Signalling Group
    Date
    2013-09-03
    Permanent link to this record
    http://hdl.handle.net/10754/562967
    
    Metadata
    Show full item record
    Abstract
    In higher plants guanylyl cyclases (GCs) and adenylyl cyclases (ACs) cannot be identified using BLAST homology searches based on annotated cyclic nucleotide cyclases (CNCs) of prokaryotes, lower eukaryotes, or animals. The reason is that CNCs are often part of complex multifunctional proteins with different domain organizations and biological functions that are not conserved in higher plants. For this reason, we have developed CNC search strategies based on functionally conserved amino acids in the catalytic center of annotated and/or experimentally confirmed CNCs. Here we detail this method which has led to the identification of >25 novel candidate CNCs in Arabidopsis thaliana, several of which have been experimentally confirmed in vitro and in vivo. We foresee that the application of this method can be used to identify many more members of the growing family of CNCs in higher plants. © Springer Science+Business Media New York 2013.
    Publisher
    Humana Press
    Journal
    Methods in Molecular Biology
    ISBN
    9781627034401
    DOI
    10.1007/978-1-62703-441-8-13
    PubMed ID
    23681580
    ae974a485f413a2113503eed53cd6c53
    10.1007/978-1-62703-441-8-13
    Scopus Count
    Collections
    Articles; Biological and Environmental Science and Engineering (BESE) Division; Bioscience Program

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