posted on 2015-02-25, 00:00authored byAndrew
M. Lipchik, Minervo Perez, Scott Bolton, Vasin Dumrongprechachan, Steven B. Ouellette, Wei Cui, Laurie L. Parker
Nonreceptor
protein tyrosine kinases (NRTKs) are essential for
cellular homeostasis and thus are a major focus of current drug discovery
efforts. Peptide substrates that can enhance lanthanide ion luminescence
upon tyrosine phosphorylation enable rapid, sensitive screening of
kinase activity, however design of suitable substrates that can distinguish
between tyrosine kinase families is a huge challenge. Despite their
different substrate preferences, many NRTKs are structurally similar
even between families. Furthermore, the development of lanthanide-based
kinase assays is hampered by incomplete understanding of how to integrate
sequence selectivity with metal ion binding, necessitating laborious
iterative substrate optimization. We used curated proteomic data from
endogenous kinase substrates and known Tb3+-binding sequences
to build a generalizable in silico pipeline with
tools to generate, screen, align, and select potential phosphorylation-dependent
Tb3+-sensitizing substrates that are most likely to be
kinase specific. We demonstrated the approach by developing several
substrates that are selective within kinase families and amenable
to high-throughput screening (HTS) applications. Overall, this strategy
represents a pipeline for developing efficient and specific assays
for virtually any tyrosine kinase that use HTS-compatible lanthanide-based
detection. The tools provided in the pipeline also have the potential
to be adapted to identify peptides for other purposes, including other
enzyme assays or protein-binding ligands.