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Profiling and Optimizing Targeted Covalent Inhibitors through EGFR-Guided Studies

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NIAID Data Ecosystem2026-05-02 收录
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https://figshare.com/articles/dataset/Profiling_and_Optimizing_Targeted_Covalent_Inhibitors_through_EGFR-Guided_Studies/29901094
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Targeted covalent inhibitors (TCIs) are actively pursued in drug discovery due to their prolonged target engagement and clinical efficacy. Although kinetic parameters provide a path to their optimization, systematic design strategies and practical guidance remain underexplored. In this study, the EGFR kinase is deployed as a model system to elucidate structural and functional determinants critical for directing the optimization of irreversible TCIs. Functional analyses reveal a two-phase optimization process, underscoring the importance of balancingrather than maximizingthe inactivation efficiency rate (kinact/KI). Selective inhibition of the oncogenic L858R/T790M mutant over the wild-type is achieved by tuning this balance, particularly for TCIs exhibiting the fastest kinact/KI. Structural studies indicate that certain hydrophobic and hydrophilic interactions are associated with L858R/T790M selectivity, offering insights into structure-guided design. These results offer a broadly applicable approach for prioritizing compounds and support the integration of kinetic and selectivity data in TCI discovery campaigns.
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2025-08-13
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