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Frontiers in Bioscience
Article . 2012 . Peer-reviewed
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WW domain-containing proteins: Retrospectives and the future

Authors: Zaidoun, Salah; Akram, Alian; Rami I, Aqeilan;

WW domain-containing proteins: Retrospectives and the future

Abstract

WW domains are protein modules that mediate protein-protein interactions through recognition of proline-rich peptide motifs (PRM) and phosphorylated serine/threonine-proline sites. WW domains are found in many different structural and signaling proteins that are involved in a variety of cellular processes, including RNA transcription and processing, protein trafficking and stability, receptor signaling, and control of the cytoskeleton. WW domain-containing proteins and complexes have been implicated in major human diseases including cancer as well as in major signaling cascades such as the Hippo tumor suppressor pathway, making them targets for new diagnostics and therapeutics. In this review, we discuss how WW domains provide versatile platforms that link individual proteins into physiologically important networks and the indispensible role of WW domain-containing proteins in biology and pathology, especially tumorogenesis.

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Keywords

Models, Molecular, Neoplasms, Tumor Suppressor Proteins, Amino Acid Motifs, Molecular Sequence Data, Intracellular Signaling Peptides and Proteins, Humans, Protein Interaction Domains and Motifs, Amino Acid Sequence, Models, Biological

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    105
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
105
Top 10%
Top 10%
Top 1%
gold
Related to Research communities
Cancer Research