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MAST Kinases' Function and Regulation: Insights from Structural Modeling and Disease Mutations.

Michael C Lemke1, Nithin R Avala1, Michael T Rader1

  • 1Department of Pharmacology, University of Virginia, Charlottesville, VA 22903, USA.

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|April 29, 2025
PubMed
Summary
This summary is machine-generated.

MAST kinases, linked to diseases like cancer, diversified from a primordial ancestor. Mammalian MASTs show varied tissue expression and are likely 14-3-3 regulated, with mutations impacting protein stability.

Keywords:
14-3-3AlphaFoldDUF1908MAST kinasemutations

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Area of Science:

  • Evolutionary biology
  • Structural biology
  • Bioinformatics

Background:

  • MAST kinases are ancient AGC kinases implicated in human diseases including cancer, diabetes, and neurodevelopmental disorders.
  • Understanding MAST kinase origins and diversification is crucial for future research and therapeutic development.

Purpose of the Study:

  • To elucidate the evolutionary origins and diversification of MAST kinases using structural and bioinformatic approaches.
  • To predict the functional impact of disease-associated mutations on MAST protein stability.

Main Methods:

  • Sequence and database analysis of MAST-lineage kinases across various organisms.
  • Integration of predictive algorithms and AlphaFold for estimating mutation effects on protein stability.

Main Results:

  • Higher organisms possess multiple MAST kinases and a single MASTL kinase, all conserving AGC kinase, DUF1908, and PDZ domains.
  • Early MAST-like proteins in *D. discoideum* and plants show domain loss, while mammalian MAST1-4 exhibit tissue-specific expression and likely 14-3-3 regulation.
  • In silico analysis predicted that specific mutations (e.g., MAST1-L232P, G522E) likely destabilize MAST proteins.

Conclusions:

  • MAST and MASTL kinases evolved from a common primordial MAST ancestor, with subsequent expansion and diversification in mammals.
  • Mammalian MAST kinases are likely regulated by 14-3-3 proteins, and pathogenic mutations often affect post-translational modification sites within DUF and kinase domains.
  • This study provides a computational framework for investigating MAST kinase regulation and developing novel drug discovery strategies.