Membrane receptors sense and transduce extracellular stimuli into intracellular signaling responses but the molecular underpinnings remain poorly understood. We report a computational approach for designing protein allosteric signaling functions. By combining molecular dynamics simulations and design calculations, the method engineers amino-acid ‘microswitches’ at allosteric sites that modulate receptor stability or long-range coupling, to reprogram specific signaling properties. We designed 36 dopamine D2 receptor variants, whose constitutive and ligand-induced signaling agreed well with our predictions, repurposed the D2 receptor into a serotonin biosensor and predicted the signaling effects of more than 100 known G-protein-coupled receptor (GPCR) mutations. Our results reveal the existence of distinct classes of allosteric microswitches and pathways that define an unforeseen molecular mechanism of regulation and evolution of GPCR signaling. Our approach enables the rational design of allosteric receptors with enhanced stability and function to facilitate structural characterization, and reprogram cellular signaling in synthetic biology and cell engineering applications.
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The data that support the findings of this study are available from the corresponding author upon reasonable request.
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We thank R. Sharma for setting up some NMA calculations, T. Wensel and his laboratory for sharing experimental protocols and members of the Barth laboratory for helpful discussion. This work was supported by funding from EPFL and the Ludwig Institute for Cancer Research, partially supported by a grant from the National Institute of Health (no. 1R01GM097207), and by a supercomputer allocation from XSEDE (no. MCB120101) to P.B.
P.B. declares the following patent application: patent applicant, Ecole Polytechnique Fédérale de Lausanne. Name of inventor(s), Patrick Barth. Application number, EP 19189259.5. Status of application, priority year. Specific aspect of manuscript covered in patent application, methods and protein variants.
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Chen, KY.M., Keri, D. & Barth, P. Computational design of G Protein-Coupled Receptor allosteric signal transductions. Nat Chem Biol 16, 77–86 (2020). https://doi.org/10.1038/s41589-019-0407-2
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