Dipartimento di Scienze degli Alimenti e del Farmaco, Università degli Studi di Parma, Parma, Italy.
Dipartimento di Scienze Biomolecolari, Università degli Studi di Urbino "Carlo Bo", Urbino, Italy.
Expert Opin Drug Discov. 2022 Apr;17(4):343-354. doi: 10.1080/17460441.2022.2043846. Epub 2022 Mar 8.
The neurohormone melatonin (-acetyl-5-methoxytryptamine) regulates circadian rhythms exerting a variety of effects in the central nervous system and in periphery. These activities are mainly mediated by activation of MT and MT GPCRs. MT/MT agonist compounds are used clinically for insomnia, depression, and circadian rhythm disturbances.
The following review describes the design strategies that have led to the identification of melatonin receptor ligands, guided by in silico approaches and molecular modeling. Initial ligand-based design, mainly relying on pharmacophore modeling and 3D-QSAR, has been flanked by structure-based virtual screening, given the recent availability of MT and MT crystal structures. Receptor ligands with different activity profiles, agonist/antagonist and subtype-selective compounds, are available.
An insight on the pharmacological characterization and therapeutic perspectives for relevant ligands is provided. In silico drug discovery has been instrumental in the design of novel ligands targeting melatonin receptors. Ligand-based approaches has led to the construction of a solid framework defining structure-activity relationships to obtain compounds with a tailored pharmacological profile. Structure-based techniques could integrate previous knowledge and provide compounds with novel chemotypes and pharmacological activity as drug candidates for disease conditions in which melatonin receptor ligands are currently being investigated, including cancer and pain.
神经激素褪黑素(N-乙酰-5-甲氧基色胺)调节昼夜节律,在中枢神经系统和外周组织中发挥多种作用。这些活动主要通过 MT 和 MT GPCR 的激活来介导。MT/MT 激动剂化合物临床上用于治疗失眠、抑郁和昼夜节律紊乱。
本综述描述了通过计算机辅助方法和分子建模指导下,确定褪黑素受体配体的设计策略。鉴于 MT 和 MT 晶体结构的最新可用性,初始基于配体的设计主要依赖于药效团建模和 3D-QSAR,同时也采用了基于结构的虚拟筛选。目前已有不同活性特征的受体配体,包括激动剂/拮抗剂和亚型选择性化合物。
提供了对相关配体的药理学特征和治疗前景的深入了解。计算机药物发现在设计靶向褪黑素受体的新型配体方面发挥了重要作用。基于配体的方法构建了一个确定构效关系的坚实框架,以获得具有特定药理学特征的化合物。基于结构的技术可以整合以前的知识,并提供具有新型化学结构和药理学活性的化合物,作为目前正在研究的褪黑素受体配体治疗疾病的候选药物,包括癌症和疼痛。