Howard Conor J, Abell Nathan S, Osuna Beatriz A, Jones Eric M, Chan Leon Y, Chan Henry, Artis Dean R, Asfaha Jonathan B, Bloom Joshua S, Cooper Aaron R, Liao Andrew, Mahdavi Eden, Mohammed Nabil, Su Alan L, Uribe Giselle A, Kosuri Sriram, Dickel Diane E, Lubock Nathan B
Octant, Inc, Emeryville, United States.
Department of Human Genetics and Department of Computational Medicine, University of California, Los Angeles, Los Angeles, United States.
Elife. 2025 Apr 9;13:RP104725. doi: 10.7554/eLife.104725.
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- and Gα-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.
深度突变扫描(DMS)是一种新兴方法,可在单个实验中系统地测试数千个序列变化对蛋白质靶点的功能影响。由于其在解释人类变异效应和蛋白质结构 - 功能关系方面的实用性,它在改善药物发现和临床开发方面具有巨大潜力。然而,该领域的应用需要改进实验和分析方法。为满足这一需求,我们报告了新颖的DMS方法,以精确和定量地探究疾病相关机制、蛋白质 - 配体相互作用,并评估对药物治疗的预测反应。使用这些方法,我们对黑皮质素 - 4受体(MC4R)进行了深度突变扫描,MC4R是一种与肥胖有关的G蛋白偶联受体(GPCR),也是药物开发努力的一个活跃靶点。我们在18种不同的实验条件下评估了>6600个单氨基酸取代对MC4R功能的影响,产生了>2000万个独特的测量结果。由此,我们鉴定出了对MC4R介导的Gα和Gα信号通路具有独特影响的变体,这些变体可用于设计选择性偏向MC4R活性的药物。我们还鉴定出了可能适用于校正疗法的致病变体。最后,我们对区分肽与小分子配体结合的结构关系进行了功能表征,这可为化合物优化提供指导。总体而言,这些结果表明DMS是一种强大的方法,可助力药物发现和开发。