Identification of Potential Inhibitors of PDE5 based on Structure-based Virtual Screening Approaches.

IF 1.5 4区 医学 Q4 CHEMISTRY, MEDICINAL Current computer-aided drug design Pub Date : 2023-01-01 DOI:10.2174/1573409919666221208143327
Lei Xu, Lilei Sun, Peng Su, Teng Ma, Yingcong Yu, Haibin Liu, Xianfeng Huang
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Abstract

Background: Phosphodiesterase type 5 (PDE5), exclusively specific for cyclic guanidine monophosphate (cGMP), a potential target for the therapy of various diseases, and PDE5 inhibitors could be used as a treatment for erectile dysfunction (ED) or chronic pulmonary hypertension.

Objective: In the present study, we carried out an integrated computer-aided virtual screening technique against the natural products in the ZINC database to discover potential inhibitors of PDE5.

Methods: Pharmacophore, molecular docking and ADMET (Absorption, distribution, metabolism, excretion and toxicity) properties filtration were used to select the PDE5 inhibitors with the best binding affinities and drug-like properties. The binding modes of PDE5 inhibitors were investigated, and these complexes' stabilities were explored by molecular dynamic simulations and MM/GBSA free energy calculations.

Results: Two natural compounds (Z171 and Z283) were identified and may be used as a critical starting point for the development of novel PDE5 inhibitors. The MM/GBSA free energy decomposition analysis quantitatively analyzed the importance of hydrophobic interaction in PDE5- ligands binding.

Conclusion: In this study, we identified two novel natural compounds from the ZINC database to effectively inhibit PDE5 through virtual screening. The novel scaffolds of these compounds can be used as the starting templates in the drug design of PDE5 inhibitors with good pharmacokinetic profiles. These results may promote the de novo design of new compounds against PDE5.

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基于结构虚拟筛选方法的PDE5潜在抑制剂鉴定
背景:磷酸二酯酶5型(PDE5),专为环磷酸胍单磷酸(cGMP),是治疗多种疾病的潜在靶点,PDE5抑制剂可用于治疗勃起功能障碍(ED)或慢性肺动脉高压。目的:在本研究中,我们对锌数据库中的天然产物进行了综合计算机辅助虚拟筛选技术,以发现潜在的PDE5抑制剂。方法:采用药效团法、分子对接法和ADMET(吸收、分布、代谢、排泄和毒性)性质过滤法筛选结合亲和力和类药性质最佳的PDE5抑制剂。研究了PDE5抑制剂的结合模式,并通过分子动力学模拟和MM/GBSA自由能计算探讨了这些配合物的稳定性。结果:鉴定出两种天然化合物(Z171和Z283),可作为开发新型PDE5抑制剂的关键起点。MM/GBSA自由能分解分析定量分析了疏水相互作用在PDE5-配体结合中的重要性。结论:本研究通过虚拟筛选,从锌数据库中鉴定出两种新的天然化合物,可以有效抑制PDE5。这些化合物的新型支架可以作为PDE5抑制剂药物设计的起始模板,具有良好的药代动力学特征。这些结果可能促进新的抗PDE5化合物的重新设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Current computer-aided drug design
Current computer-aided drug design 医学-计算机:跨学科应用
CiteScore
3.70
自引率
5.90%
发文量
46
审稿时长
>12 weeks
期刊介绍: Aims & Scope Current Computer-Aided Drug Design aims to publish all the latest developments in drug design based on computational techniques. The field of computer-aided drug design has had extensive impact in the area of drug design. Current Computer-Aided Drug Design is an essential journal for all medicinal chemists who wish to be kept informed and up-to-date with all the latest and important developments in computer-aided methodologies and their applications in drug discovery. Each issue contains a series of timely, in-depth reviews, original research articles and letter articles written by leaders in the field, covering a range of computational techniques for drug design, screening, ADME studies, theoretical chemistry; computational chemistry; computer and molecular graphics; molecular modeling; protein engineering; drug design; expert systems; general structure-property relationships; molecular dynamics; chemical database development and usage etc., providing excellent rationales for drug development.
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