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Published on: August 17, 2019
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.
Abstract:
The protein kinase PKMYT1 regulates a key cell cycle checkpoint as part of the cell's DNA-damage repair response, but in cancer, this function can promote tumor cell survival through avoiding mitotic catastrophe. PKMYT1 has been linked to a variety of cancer types, including breast, gastric, and nonsmall cell lung cancers, as well as kidney renal clear cell carcinoma, making it an important therapeutic target. However, potent and selective small-molecule inhibitors of PKMYT1 are scarce, and its specific biological role in tumor proliferation remains understudied. Here, we report the discovery and characterization of a novel PKMYT1 inhibitor, P29, bound to a previously unknown allosteric site. Structural and kinetic data reveal that P29 induces a conformational rearrangement of the P-loop and inhibits PKMYT1 through a mixed ATP competitive and noncompetitive mechanism. A closely related analogue, P32, exhibits selectivity and enhanced potency and engages PKMYT1 in cells. Surprisingly, however, it binds in the ATP binding pocket, demonstrating that subtle chemical modifications can shift binding mode and mechanism of inhibition. Furthermore, computational analysis using structural modeling methods, including AlphaFold2, AlphaFold3, Boltz-2, as well as unbiased MD simulations, indicates that these approaches are limited in their ability to capture this inhibitor-induced cryptic binding site and conformational change. Our study identifies an underexplored allosteric site in PKMYT1 and establishes a new avenue for the rational design of selective kinase inhibitors targeting a cryptic binding site in this emerging drug target. These findings also reveal intrinsic challenges in the computational discovery of noncanonical kinase binding sites and underscore the necessity of integrating computational modeling with experimental testing using structural and functional approaches.
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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