Allosteric Inhibition of PKMYT1 Induces a Unique, Inactive ATP Binding Site Conformation

Noah B Herrington1,2, Susmita Khamrui1, Yihan Zhao1,2,3

  • 1Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States.

Insights

Researchers discovered a new allosteric inhibitor (P29) for the cancer-promoting protein kinase PKMYT1. This finding opens new avenues for developing selective PKMYT1 inhibitors and highlights challenges in computational drug discovery.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Oncology

Background:

  • Protein kinase PKMYT1 is crucial for cell cycle checkpoints and DNA repair.
  • In cancer, PKMYT1 promotes tumor survival by preventing mitotic catastrophe.
  • PKMYT1 is a therapeutic target in breast, gastric, lung, and kidney cancers, but selective inhibitors are lacking.

Purpose of the Study:

  • To discover and characterize novel small-molecule inhibitors of PKMYT1.
  • To investigate the binding mode and mechanism of inhibition of new PKMYT1 inhibitors.
  • To explore the utility of computational methods in identifying cryptic allosteric sites in kinases.

Main Methods:

  • Discovery and characterization of PKMYT1 inhibitors P29 and P32.
  • Structural and kinetic analyses of inhibitor-target interactions.
  • Computational modeling including AlphaFold2, AlphaFold3, Boltz-2, and molecular dynamics (MD) simulations.

Main Results:

  • A novel inhibitor, P29, was identified binding to a previously unknown allosteric site on PKMYT1.
  • P29 inhibits PKMYT1 via a mixed ATP-competitive and noncompetitive mechanism, inducing conformational changes.
  • Analogue P32 showed enhanced potency and selectivity but bound to the ATP pocket, demonstrating sensitivity to chemical modifications.
  • Computational methods showed limitations in predicting the allosteric site and inhibitor-induced conformational changes.

Conclusions:

  • An underexplored allosteric site in PKMYT1 offers a new strategy for selective kinase inhibitor design.
  • Subtle chemical modifications can alter inhibitor binding modes and mechanisms.
  • Integrating computational modeling with experimental validation is essential for discovering noncanonical kinase binding sites.

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