High-resolution deep mutational scanning of the melanocortin-4 receptor enables target characterization for drug discovery

Deep Mutational Scanning (DMS) is an emerging method to systematically test the functional consequences of thousands of sequence changes to a protein target in a single experiment. Because of its utility in interpreting both human variant effects and protein structure-function relationships, it holds substantial promise to improve drug discovery and clinical development. However, applications in this domain require improved experimental and analytical methods. To address this need, we report novel DMS methods to precisely and quantitatively interrogate disease-relevant mechanisms, protein-ligand interactions, and assess predicted response to drug treatment. Using these methods, we performed a DMS of the melanocortin-4 receptor (MC4R), a G-protein-coupled receptor (GPCR) implicated in obesity and an active target of drug development efforts. We assessed the effects of >6600 single amino acid substitutions on MC4R's function across 18 distinct experimental conditions, resulting in >20 million unique measurements. From this, we identified variants that have unique effects on MC4R-mediated Gα<sub>s</sub>- and Gα<sub>q</sub>-signaling pathways, which could be used to design drugs that selectively bias MC4R's activity. We also identified pathogenic variants that are likely amenable to a corrector therapy. Finally, we functionally characterized structural relationships that distinguish the binding of peptide versus small molecule ligands, which could guide compound optimization. Collectively, these results demonstrate that DMS is a powerful method to empower drug discovery and development.

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Publication Details

Journal
eLife
Published
2024-12-19
DOI
https://doi.org/10.7554/elife.104725
Citations
12
Primary Topic
Receptor Mechanisms and Signaling
Type
article
Field-Weighted Citation Impact
2.81
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article

High-resolution deep mutational scanning of the melanocortin-4 receptor enables target characterization for drug discovery

Conor J Howard, Sriram Kosuri, Nabil Mohammed, Diane E. Dickel et al.
12 citations
eLife
Receptor Mechanisms and Signaling
2.81
article

High-resolution deep mutational scanning of the melanocortin-4 receptor enables target characterization for drug discovery

Conor J Howard, Sriram Kosuri, Nabil Mohammed, Diane E. Dickel, Aaron Cooper, Leon Y Chan, Nathan S. Abell, Giselle A. Uribe, Jonathan B Asfaha, Eric M. Jones, Andrew Liao, Henry Chan, Nathan B. Lubock, Beatriz A. Osuna, Joshua S. Bloom, Dean R. Artis, Eden Mahdavi, Alan L Su
article en
12 citations

Abstract

Deep Mutational Scanning (DMS) is an emerging method to systematically test the functional consequences of thousands of sequence changes to a protein target in a single experiment. Because of its utility in interpreting both human variant effects and protein structure-function relationships, it holds substantial promise to improve drug discovery and clinical development. However, applications in this domain require improved experimental and analytical methods. To address this need, we report novel DMS methods to precisely and quantitatively interrogate disease-relevant mechanisms, protein-ligand interactions, and assess predicted response to drug treatment. Using these methods, we performed a DMS of the melanocortin-4 receptor (MC4R), a G-protein-coupled receptor (GPCR) implicated in obesity and an active target of drug development efforts. We assessed the effects of >6600 single amino acid substitutions on MC4R's function across 18 distinct experimental conditions, resulting in >20 million unique measurements. From this, we identified variants that have unique effects on MC4R-mediated Gα<sub>s</sub>- and Gα<sub>q</sub>-signaling pathways, which could be used to design drugs that selectively bias MC4R's activity. We also identified pathogenic variants that are likely amenable to a corrector therapy. Finally, we functionally characterized structural relationships that distinguish the binding of peptide versus small molecule ligands, which could guide compound optimization. Collectively, these results demonstrate that DMS is a powerful method to empower drug discovery and development.

eLifeVol. 13
Howard Hughes Medical Institute (US), University of California, Los Angeles (US), Annexon Biosciences (United States) (US), Arsenal Biosciences (United States) (US), Stanford University (US)
Good health and well-being
Openalex Percentile: Top 9%
Receptor Mechanisms and Signaling
2.81
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