Department of Anesthesiology, Washington University School of Medicine, Saint Louis, MO 63110, USA; Center for Clinical Pharmacology, University of Health Sciences & Pharmacy and Washington University School of Medicine, Saint Louis, MO 63110, USA.
Department of Pharmacology, University of North Carolina Chapel Hill School of Medicine, Chapel Hill 27599, NC, USA.
Cell. 2023 Nov 22;186(24):5203-5219. doi: 10.1016/j.cell.2023.10.029.
Opioids are used for pain management despite the side effects that contribute to the opioid crisis. The pursuit of non-addictive opioid analgesics remains unattained due to the unresolved intricacies of opioid actions, receptor signaling cascades, and neuronal plasticity. Advancements in structural, molecular, and computational tools illuminate the dynamic interplay between opioids and opioid receptors, as well as the molecular determinants of signaling pathways, which are potentially interlinked with pharmacological responses. Here, we review the molecular basis of opioid receptor signaling with a focus on the structures of opioid receptors bound to endogenous peptides or pharmacological agents. These insights unveil specific interactions that dictate ligand selectivity and likely their distinctive pharmacological profiles. Biochemical analysis further unveils molecular features governing opioid receptor signaling. Simultaneously, the synergy between computational biology and medicinal chemistry continues to expedite the discovery of novel chemotypes with the promise of yielding more efficacious and safer opioid compounds.
尽管阿片类药物有副作用,导致阿片类药物危机,但仍被用于疼痛管理。由于阿片类药物作用、受体信号级联和神经元可塑性的复杂问题尚未解决,因此追求非成瘾性阿片类镇痛药的目标尚未实现。结构、分子和计算工具的进步阐明了阿片类药物与阿片受体之间的动态相互作用,以及信号通路的分子决定因素,这些因素可能与药理反应相互关联。在这里,我们综述了阿片受体信号转导的分子基础,重点是与内源性肽或药理学药物结合的阿片受体的结构。这些见解揭示了决定配体选择性的特定相互作用,并且可能具有独特的药理学特征。生化分析进一步揭示了控制阿片受体信号转导的分子特征。同时,计算生物学和药物化学之间的协同作用继续加速新型化学型的发现,有望产生更有效和更安全的阿片类化合物。
Cell. 2023-11-22
Neuropsychopharmacology. 2018-9-24
Cell. 2023-1-19
Annu Rev Biochem. 2021-6-20
Anaesthesist. 2019-2
Biochemistry. 2018-9-25
Expert Opin Investig Drugs. 2018-9-7
Annu Rev Med. 2015-8-26
J Comput Aided Mol Des. 2025-8-9
Nat Commun. 2025-7-23
NPJ Drug Discov. 2025
J Chem Inf Model. 2025-5-26
J Cell Mol Med. 2025-4
Am J Psychiatry. 2023-5-1
Pharmacol Rev. 2023-9
Nat Commun. 2023-3-11
Trends Pharmacol Sci. 2023-4
Cell. 2023-1-19