A Deep Dive into PDE5 Inhibition: Innovative Discoveries via Virtual Screening

IF 1.2 4区 医学 Q4 CHEMISTRY, MEDICINAL Letters in Drug Design & Discovery Pub Date : 2024-04-05 DOI:10.2174/0115701808279586231221043744
Abhijit Debnath, Hema Chaudhary, Parul Sharma, Rajesh Singh, Shikha Srivastava
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Abstract

Background: PDE5 inhibitors have had a surge in popularity over the last decade owing to their efficacy in the treatment of erectile dysfunction, coronary vasculopathy, and pulmonary arterial hypertension. These inhibitors exhibit competitive binding with phosphodiesterase type 5 and inhibit the hydrolysis of cyclic guanosine monophosphate, hence elevating the levels of cGMP in smooth muscle cells and prolonging the duration of an erection. However, due to production costs and side effects, further research is needed to discover new PDE5 inhibitors. background: The field of PDE5 inhibitors has risen in popularity in the past decade because of the success of PDE5 inhibitors in treating erectile dysfunction. Due to the structural identity with cGMP; PDE5 inhibitors competitively bind with PDE5 and limit cGMP hydrolysis, which raises the cGMP level in smooth muscle cells and lengthens the duration of an erection. PDE5 inhibitors were also found to be beneficial for coronary vasculopathy, pulmonary arterial hypertension, and benign prostatic hyperplasia. But, due to the expensive cost of production and unwanted side effects, it is necessary to explore the possibility of the discovery of new PDE5 inhibitors. Objective: The study aimed to identify potent PDE5 inhibitors by employing the extensive application of computer-aided drug design. objective: To identify potent PDE5 inhibitors by employing the extensive application of computer-aided drug design. Method: Three different databases, named Million Molecules Database, Natural Product Database, and NCI Database, have been screened, which has been followed by filtering based on various druglikeness rules, docking, ADME, toxicity, consensus molecular docking, and 100 ns molecular dynamics simulation. method: Three different databases named Million Molecules Database, Natural Product Database, and NCI Database has been screened followed by filtering based on various drug-likeness such as Lipinski rule of five, Ghose rule, Veber rule, and Muegge rule, docking, ADME, toxicity, consensus molecular docking, and 100 ns Molecular dynamics simulation Results: Three compounds (ZINC05351336, ZINC12030898, and ZINC17949426) have exhibited stable-binding characteristics at the active site of PDE5, demonstrating a robust binding affinity. These molecules have been found to possess drug-like capabilities, effective ADME features, low toxicity, and high stability. Conclusion: The study has delved into the realm of PDE5 inhibitors, which have been found to be effective in treating erectile dysfunction, but high production costs and side effects necessitate new ones. Through computer-aided drug design and screening, three compounds have been identified with promising binding characteristics, drug-appropriate properties, effective ADME profiles, minimal toxicity, and stability, making them potential candidates for future PDE5 inhibitors
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深入研究 PDE5 抑制剂:通过虚拟筛选的创新发现
背景:过去十年来,PDE5 抑制剂因其在治疗勃起功能障碍、冠状动脉血管病变和肺动脉高压方面的疗效而大受欢迎。这些抑制剂与 5 型磷酸二酯酶竞争性结合,抑制环磷酸鸟苷的水解,从而提高平滑肌细胞中 cGMP 的水平,延长勃起时间。然而,由于生产成本和副作用的原因,需要进一步研究发现新的 PDE5 抑制剂:由于 PDE5 抑制剂在治疗勃起功能障碍方面取得了成功,PDE5 抑制剂领域在过去十年中逐渐兴起。由于在结构上与 cGMP 相同,PDE5 抑制剂能与 PDE5 竞争性结合并限制 cGMP 的水解,从而提高平滑肌细胞中的 cGMP 水平并延长勃起时间。研究还发现,PDE5 抑制剂对冠状动脉血管病变、肺动脉高压和良性前列腺增生也有好处。但是,由于生产成本高昂和不必要的副作用,有必要探索发现新的 PDE5 抑制剂的可能性。研究目的该研究旨在通过广泛应用计算机辅助药物设计,找出有效的 PDE5 抑制剂:通过广泛应用计算机辅助药物设计,确定有效的 PDE5 抑制剂。方法:筛选了三个不同的数据库,分别名为 "百万分子数据库"、"天然产物数据库 "和 "NCI 数据库",然后根据各种药物相似性规则、对接、ADME、毒性、共识分子对接和 100 ns 分子动力学模拟进行筛选:筛选了名为 "百万分子数据库"、"天然产物数据库 "和 "NCI 数据库 "的三个不同的数据库,然后根据各种药物相似性规则(如 Lipinski 五法则、Ghose 法则、Veber 法则和 Muegge 法则)、对接、ADME、毒性、共识分子对接和 100 ns 分子动力学模拟结果进行了筛选:三个化合物(ZINC05351336、ZINC12030898 和 ZINC17949426)在 PDE5 的活性位点表现出稳定的结合特性,显示出强大的结合亲和力。这些分子具有类似药物的能力、有效的 ADME 特性、低毒性和高稳定性。结论该研究深入探讨了 PDE5 抑制剂的领域,发现这些抑制剂对治疗勃起功能障碍有效,但生产成本高、副作用大,因此有必要开发新的抑制剂。通过计算机辅助药物设计和筛选,确定了三种化合物,它们具有良好的结合特性、适合药物的性质、有效的 ADME 特征、最小的毒性和稳定性,是未来 PDE5 抑制剂的潜在候选化合物。
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来源期刊
CiteScore
1.80
自引率
10.00%
发文量
245
审稿时长
3 months
期刊介绍: Aims & Scope Letters in Drug Design & Discovery publishes letters, mini-reviews, highlights and guest edited thematic issues in all areas of rational drug design and discovery including medicinal chemistry, in-silico drug design, combinatorial chemistry, high-throughput screening, drug targets, and structure-activity relationships. The emphasis is on publishing quality papers very rapidly by taking full advantage of latest Internet technology for both submission and review of manuscripts. The online journal is an essential reading to all pharmaceutical scientists involved in research in drug design and discovery.
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