Lemke Michael C, Avala Nithin R, Rader Michael T, Hargett Stefan R, Lank Daniel S, Seltzer Brandon D, Harris Thurl E
Department of Pharmacology, University of Virginia, Charlottesville, VA 22903, USA.
Biomedicines. 2025 Apr 9;13(4):925. doi: 10.3390/biomedicines13040925.
: The MAST kinases are ancient AGC kinases associated with many human diseases, such as cancer, diabetes, and neurodevelopmental disorders. We set out to describe the origins and diversification of MAST kinases from a structural and bioinformatic perspective to inform future research directions. : We investigated MAST-lineage kinases using database and sequence analysis. We also estimate the functional consequences of disease point mutations on protein stability by integrating predictive algorithms and AlphaFold. : Higher-order organisms often have multiple MASTs and a single MASTL kinase. MAST proteins conserve an AGC kinase domain, a domain of unknown function 1908 (DUF), and a PDZ binding domain. contains MAST kinase-like proteins that exhibit a characteristic insertion within the T-loop but do not conserve DUF or PDZ domains. While the DUF domain is conserved in plants, the PDZ domain is not. The four mammalian MASTs demonstrate tissue expression heterogeneity by mRNA and protein. MAST1-4 are likely regulated by 14-3-3 proteins based on interactome data and in silico predictions. Comparative ΔΔG estimation identified that MAST1-L232P and G522E mutations are likely destabilizing. : We conclude that MAST and MASTL kinases diverged from the primordial MAST, which likely operated in both biological niches. The number of MAST paralogs then expanded to the heterogeneous subfamily seen in mammals that are all likely regulated by 14-3-3 protein interaction. The reported pathogenic mutations in MASTs primarily represent alterations to post-translational modification topology in the DUF and kinase domains. Our report outlines a computational basis for future work in MAST kinase regulation and drug discovery.
MAST激酶是古老的AGC激酶,与许多人类疾病相关,如癌症、糖尿病和神经发育障碍。我们着手从结构和生物信息学角度描述MAST激酶的起源和多样化,为未来的研究方向提供参考。:我们使用数据库和序列分析研究了MAST谱系激酶。我们还通过整合预测算法和AlphaFold来估计疾病点突变对蛋白质稳定性的功能影响。:高等生物通常有多个MAST和单个MASTL激酶。MAST蛋白保留一个AGC激酶结构域、一个功能未知结构域1908(DUF)和一个PDZ结合结构域。包含MAST激酶样蛋白,这些蛋白在T环内表现出特征性插入,但不保留DUF或PDZ结构域。虽然DUF结构域在植物中保守,但PDZ结构域不保守。四种哺乳动物MAST通过mRNA和蛋白质表现出组织表达异质性。基于相互作用组数据和计算机预测,MAST1-4可能受14-3-3蛋白调节。比较ΔΔG估计表明,MAST1-L232P和G522E突变可能会使蛋白质不稳定。:我们得出结论,MAST和MASTL激酶与原始MAST分化,原始MAST可能在两种生物环境中都起作用。然后MAST旁系同源物的数量扩展到哺乳动物中所见的异质亚家族,它们都可能受14-3-3蛋白相互作用调节。MAST中报道的致病突变主要代表DUF和激酶结构域中翻译后修饰拓扑结构的改变。我们的报告概述了MAST激酶调节和药物发现未来工作的计算基础。