Vigneron Seth F, Ohno Shohei, Braz Joao, Kim Joseph Y, Kweon Oh Sang, Webb Chase, Billesbølle Christian B, Srinivasan Karthik, Bhardwaj Karnika, Irwin John J, Manglik Aashish, Basbaum Allan I, Ellman Jonathan A, Shoichet Brian K
Department of Pharmaceutical Chemistry, University of California, San Francisco, California 94158, United States.
Department of Chemistry, Yale University, New Haven, Connecticut 06520, United States.
ACS Cent Sci. 2025 Apr 29;11(5):770-790. doi: 10.1021/acscentsci.5c00052. eCollection 2025 May 28.
Large library docking of tangible molecules has revealed potent ligands across many targets. While make-on-demand libraries now exceed 75 billion enumerated molecules, their synthetic routes are dominated by a few reaction types, reducing diversity and inevitably leaving many interesting bioactive-like chemotypes unexplored. Here, we investigate the large-scale enumeration and targeted docking of isoquinuclidines. These "natural-product-like" molecules are rare in current libraries and are functionally congested, making them interesting as receptor probes. Using a modular, four-component reaction scheme, we built and docked a virtual library of over 14.6 million isoquinuclidines against both the μ- and κ-opioid receptors (MOR and KOR, respectively). Synthesis and experimental testing of 18 prioritized compounds found nine ligands with low μM affinities. Structure-based optimization revealed low- and sub-nM antagonists and inverse agonists targeting both receptors. Cryo-electron microscopy structures illuminate the origins of activity on each target. In mouse behavioral studies, a potent joint MOR-antagonist and KOR-inverse-agonist reversed morphine-induced analgesia, phenocopying the MOR-selective antioverdose agent naloxone. Encouragingly, the isoquinuclidine induced less severe opioid-withdrawal symptoms versus naloxone and did not induce conditioned-place aversion, reflecting reduced dysphoria, consistent with its KOR-inverse agonism. The strengths and weaknesses of bespoke library docking and of docking for opioid receptor polypharmacology will be considered.
对有形分子进行大规模库对接已发现针对许多靶点的强效配体。虽然按需合成库中列举的分子现在已超过750亿个,但其合成路线主要由少数几种反应类型主导,这降低了多样性,不可避免地使许多有趣的类生物活性化学型未被探索。在此,我们研究异喹诺里西丁的大规模列举和靶向对接。这些“类天然产物”分子在当前库中很少见,且功能拥挤,使其作为受体探针很有吸引力。我们使用一种模块化的四组分反应方案,构建了一个超过1460万个异喹诺里西丁的虚拟库,并将其与μ-阿片受体和κ-阿片受体(分别为MOR和KOR)进行对接。对18种优先化合物进行合成和实验测试,发现了9种具有低微摩尔亲和力的配体。基于结构的优化揭示了针对这两种受体的低纳摩尔和亚纳摩尔拮抗剂及反向激动剂。冷冻电子显微镜结构阐明了每个靶点上活性的来源。在小鼠行为研究中,一种强效的MOR拮抗剂和KOR反向激动剂联合使用可逆转吗啡诱导的镇痛作用,模拟了MOR选择性抗过量用药剂纳洛酮的作用。令人鼓舞的是,与纳洛酮相比,异喹诺里西丁诱导的阿片类药物戒断症状较轻,且未诱导条件性位置厌恶,这反映出烦躁不安减轻,与其KOR反向激动作用一致。我们将考虑定制库对接以及阿片受体多药理学对接的优缺点。