Journal of the American Chemical SocietyBiophysicsPeer-reviewed journal article
TRPM8 protein dynamics correlates with ligand structure and cellular function
Mubark D. MebratiD, Dustin D. LuuiD, Jacob K. HiltoniD, Minjoo KimiD, Kaitlyn ParrottiD, Brian R. Cherry, Marcia LevitusiD, V. Blair JourniganiD, Wade D. Van HorniD
Abstract
Protein dynamics have emerged as a key feature associated with function in various systems. Here, NMR-based studies coupled with computational cheminformatics and cellular function are leveraged to identify a relationship between the human cold and menthol receptor TRPM8 dynamics, chemical structure, and cellular potency. TRPM8 is a validated target for a variety of pain indications but generally has been clinically limited by on-target side effects impacting thermosensing and thermoregulation. This study shows that cheminformatic analysis of a TRPM8 regulating small molecule ligand library correlates with cellular function. Electrophysiology studies further validate the relationship and show a correlation between chemical structure and functional features such as compound potency. Solution NMR studies of the TRPM8 voltage sensing-like domain, which houses the canonical menthol ligand binding site, show that ligand binding conformationally selects NMR-detected TRPM8 dynamics in a manner that quantitatively correlates with chemical structure. The relationship between chemical structure and protein dynamics can be used predictively, where a chemical structure is predictive of dynamics in a latent reduced dimensionality space. Moreover, the robustness of the conformational selection of the dynamic ensemble is evaluated by varying related and divergent chemotypes, signal-to-noise sensitivity, and sample bias. Taken together, this study identifies that protein dynamics can serve as a quantifiable bridge between chemical structure and cellular function, which has implications for drug discovery in difficult systems.
- organism: human
- assay: electrophysiology
- assay: structural biology
- research focus: drug response / drug discovery
- approach: statistical model
- approach: experimental assay
- Citations
- 8
- FWCI
- 5.06
- Field percentile
- top 4%
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