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对磷酸二酯酶1B(PDE1B)和磷酸二酯酶10A(PDE10A)双重抑制剂先导物识别的结构洞察:整合基于药效团的虚拟筛选、分子对接和构效关系方法

Structural insight into the lead identification of a dual inhibitor of PDE1B and PDE10A: Integrating pharmacophore-based virtual screening, molecular docking, and structure-activity-relationship approaches.

作者信息

Soon Ching Wen, Gaurav Anand, Gautam Vertika, Al-Nema Mayasah

机构信息

Faculty of Pharmaceutical Sciences, UCSI University, Taman Connaught, Cheras, Kuala Lumpur, 56000, Malaysia.

Department of Pharmaceutical Sciences, School of Health Sciences and Technology, UPES, Dehradun, 248007, Uttarakhand, India.

出版信息

Heliyon. 2024 Sep 23;10(19):e38305. doi: 10.1016/j.heliyon.2024.e38305. eCollection 2024 Oct 15.

Abstract

Schizophrenia is a chronic neuropsychiatric disorder affecting more than 1% of the world's population. Current antipsychotic treatments show inadequacy in mitigating the negative and cognitive symptoms of schizophrenia. In addition, these medications cause undesirable extrapyramidal side effects. According to the studies, inhibition of phosphodiesterase (PDE) 1B and PDE10A simultaneously can alleviate positive, negative, and cognitive symptoms of schizophrenia. Thus, this study aims to identify new dual inhibitors of PDE1B and PDE10A using ligand-based pharmacophore modelling, virtual screening, and molecular docking studies. Accordingly, the generated pharmacophore models of PDE1B and PDE10A comprised hydrogen bond acceptor, aromatic ring, and hydrophobic features. These features were essential for retrieving the active hits from the Universal Natural Product Database in the virtual screening. Additional filters were subsequently employed to identify potential hits that could be developed into central nervous system-active compounds. Hits meeting all the screening criteria were subjected to docking studies with PDE1B and PDE10A. Among these hits, UNPD167314 exhibited significant binding affinities for the target receptors. It occupied the P-clamp and displayed hydrophobic, aromatic, and hydrogen bond interactions with the active site residues of both receptors, thus selected as a lead compound for the design of potent and selective dual inhibitors. The structural modifications of UNPD167314 resulted in the design of 35 novel inhibitors. Out of 35, four compounds exhibited high and comparable binding affinities for both PDE1B and PDE10A, making them promising candidates for further evaluation and optimisation.

摘要

精神分裂症是一种慢性神经精神障碍,影响着全球超过1%的人口。目前的抗精神病药物在减轻精神分裂症的阴性和认知症状方面效果不佳。此外,这些药物会引起不良的锥体外系副作用。根据研究,同时抑制磷酸二酯酶(PDE)1B和PDE10A可以缓解精神分裂症的阳性、阴性和认知症状。因此,本研究旨在通过基于配体的药效团建模、虚拟筛选和分子对接研究来鉴定新的PDE1B和PDE10A双重抑制剂。相应地,生成的PDE1B和PDE10A药效团模型包括氢键受体、芳香环和疏水特征。这些特征对于在虚拟筛选中从通用天然产物数据库中检索活性命中物至关重要。随后采用了额外的筛选条件来识别可能开发成中枢神经系统活性化合物的潜在命中物。符合所有筛选标准的命中物与PDE1B和PDE10A进行对接研究。在这些命中物中,UNPD167314对目标受体表现出显著的结合亲和力。它占据了P-钳位,并与两个受体的活性位点残基表现出疏水、芳香和氢键相互作用,因此被选为设计强效和选择性双重抑制剂的先导化合物。对UNPD167314进行结构修饰,设计出了35种新型抑制剂。在这35种化合物中,有4种化合物对PDE1B和PDE10A都表现出高且相当的结合亲和力,使其成为进一步评估和优化的有前途的候选物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ed8/11466560/a12a987ed043/gr1.jpg

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