Suppr超能文献

新型噻唑基化合物作为阿尔茨海默病潜在的β-分泌酶1抑制剂

Novel Thiazole-Based Compounds as Potential Beta-Site Amyloid Precursor Protein Cleaving Enzyme 1 Inhibitors for Alzheimer's Disease.

作者信息

Alhomrani Majid, Alamri Abdulhakeem S, Alsanie Walaa F, Alsharif Abdulaziz, Abdulaziz Osama, Salih Magdi M, Rafat Bassem M, Alamri Abdulwhab, Chohan Tahir A

出版信息

Clin Lab. 2025 Aug 1;71(8). doi: 10.7754/Clin.Lab.2025.241234.

Abstract

BACKGROUND

Alzheimer's disease is a neurodegenerative disorder that causes significant cognitive impairment and memory loss. It is the leading cause of dementia on a global scale and is distinguished by the pathological build-up of amyloid-beta peptides and tau protein. This study presents the development of E-pharmacophore modeling, which utilizes reported co-crystal structure involving beta-site amyloid precursor protein cleaving enzyme 1 (BACE1) to screen the eMolecules database.

METHODS

The present study comprehensively dealt with the virtual screening and structure-based prediction of thiazole compounds against BACE1 protein. To investigate the binding mode of virtual-screened hits (VS-hits), top 100 VS-hits were docked into BACE1 followed by in silico ADMET prediction. Top two VS-hits (CP1 and CP2) with highest docking scores along with co-crystalized ligand (CPZ) were further subjected to MESP, HOMO, LUMO, MD simulation, and MMGBSA analysis to inspect the dynamic stability of inhibitor-BACE1 complexes and the key molecular interaction responsible for their improved binding affinity toward BACE1.

RESULTS

This research identified CP1 and CP2 as top two potential novel BACE1 inhibitors from the library of natural products, whose Glide docking scores range from -8.87 to -7.89 kcal/mol-1. Interestingly, both ligands were able to establish interactions with a set of conserved residues F108, I110, I118, L30, Q12, G13, G11, A335, S229, D228, G230, D32, G34, S35, and Y71. ADMET assessment of the selected compounds was also noted to be within acceptable ranges. The preliminary in-silico ADMET evaluation revealed encouraging results for all the modeled and in-house library compounds. The RMSD and RMSF analysis revealed that both ligands remained stable and maintained their interaction throughout the simulation time (100 nanoseconds). The MM/GBSA (ranging from -36.734 to -27.431 kcal/mol) predicted binding affinities are in strong correlation with that of the docking score, which not only supports the docking results but also suggests that CP1 exhibits superior binding affinity towards BACE1.

CONCLUSIONS

Keeping in view these findings, CP1 might be a promising candidate for drug discovery against BACE1 inhibitors. The findings of this research have the potential to offer valuable recommendations for the advancement of novel, potent, and efficacious BACE1 inhibitors.

摘要

背景

阿尔茨海默病是一种神经退行性疾病,会导致严重的认知障碍和记忆丧失。它是全球范围内痴呆症的主要病因,其特征是β-淀粉样肽和tau蛋白的病理性积累。本研究介绍了电子药效团模型的开发,该模型利用报道的涉及β-位点淀粉样前体蛋白裂解酶1(BACE1)的共晶体结构来筛选电子分子数据库。

方法

本研究全面探讨了噻唑化合物针对BACE1蛋白的虚拟筛选和基于结构的预测。为了研究虚拟筛选命中物(VS-命中物)的结合模式,将排名前100的VS-命中物对接至BACE1,随后进行计算机辅助的ADMET预测。将对接分数最高的前两个VS-命中物(CP1和CP2)以及共结晶配体(CPZ)进一步进行分子静电势(MESP)、最高占据分子轨道(HOMO)、最低未占据分子轨道(LUMO)、分子动力学(MD)模拟和分子力学广义玻恩表面面积(MMGBSA)分析,以检查抑制剂-BACE1复合物的动态稳定性以及负责其对BACE1增强结合亲和力的关键分子相互作用。

结果

本研究从天然产物库中确定CP1和CP2为两种潜在的新型BACE1抑制剂,其Glide对接分数范围为-8.87至-7.89 kcal/mol-1。有趣的是,这两种配体都能够与一组保守残基F108、I110、I118、L30、Q12、G13、G11、A335、S229、D228、G230、D32、G34、S35和Y71建立相互作用。所选化合物的ADMET评估也被认为在可接受范围内。对所有建模化合物和内部库化合物的初步计算机辅助ADMET评估显示出令人鼓舞的结果。均方根偏差(RMSD)和均方根波动(RMSF)分析表明,在整个模拟时间(100纳秒)内,两种配体均保持稳定并维持其相互作用。MM/GBSA预测的结合亲和力(范围为-36.734至-27.431 kcal/mol)与对接分数高度相关,这不仅支持了对接结果,还表明CP1对BACE1表现出更高的结合亲和力。

结论

鉴于这些发现,CP1可能是一种有前景的抗BACE1抑制剂药物发现候选物。本研究结果有可能为新型、强效和有效的BACE1抑制剂的开发提供有价值的建议。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验