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通过分子建模和模拟方法探索小分子作为潜在β-分泌酶1(BACE1)蛋白抑制剂以治疗淀粉样脑血管病。

Exploration of small molecules as inhibitors of potential BACE1 protein to treat amyloid cerebrovascular disease by employing molecular modeling and simulation approaches.

作者信息

Wang Zhizhong, Li Zhiyong, Lin Ailong, Zhang Qing, Chen Yingchun, Bie Bizhou, Feng Juanjuan

机构信息

College of Chinese Medicine, Hubei University of Chinese Medicine, Wuhan, Hubei, China.

The Third People's Hospital of Hubei Province, Affiliated Jianghan University, Wuhan, Hubei, China.

出版信息

PLoS One. 2025 Mar 21;20(3):e0317716. doi: 10.1371/journal.pone.0317716. eCollection 2025.

Abstract

Amyloid cerebrovascular disease, primarily driven by the accumulation of amyloid-beta (Aβ) peptides, is intricately linked to neurodegenerative disorders like Alzheimer's disease. BACE1 (beta-site amyloid precursor protein cleaving enzyme 1) plays a critical role in the production of Aβ, making it a key therapeutic target. In the current work, a CNS library of ChemDiv database containing 44085 compounds was screened against the BACE1 protein. Initially, a structure-based pharmacophore hypothesis was constructed, followed by virtual screening, with the screened hits docked to the BACE1 protein to determine the optimal binding modes. The docking results were examined using the glide gscore and chemical interactions of the docked molecules. The cutoff value of -5 kcal/mol was used to select hits with high binding affinities. A total of seven hits were chosen based on the glide g score. Furthermore, the possible binding mechanisms of the docked ligands were investigated, and it was discovered that all seven selected ligands occupied the same site in the predicted binding pocket of protein. The bioactivity scores of the compounds demonstrated that the chosen compounds possess the features of lead compounds. The toxicity risks and ADMET features of the selected hits were anticipated, and four compounds, J032-0080, SC13-0774, V030-0915, and V006-5608 were chosen for stability analysis. The selected hits were extremely stable and strongly bound to the BACE1 pocket, and conformational changes caused by RMSD, RMSF, and protein-ligand interactions were assessed using MD modeling. Similarly, principal component analysis revealed a large static number of hydrogen bonds. The MM/GBSA binding free energies maps revealed a significant energy contribution in the binding of selected hits to BACE1. The binding free energy landscapes indicated that the hits were bound with a high binding affinity. Thus, the hits could serve as lead compounds in biophysical investigations to limit the biological activity of the BACE1 protein.

摘要

淀粉样脑血管疾病主要由β淀粉样蛋白(Aβ)肽的积累驱动,与阿尔茨海默病等神经退行性疾病有着复杂的联系。β-分泌酶1(BACE1)在Aβ的产生中起关键作用,使其成为一个关键的治疗靶点。在当前的工作中,针对BACE1蛋白筛选了ChemDiv数据库中包含44085种化合物的中枢神经系统(CNS)文库。首先,构建了基于结构的药效团假说,随后进行虚拟筛选,将筛选出的命中化合物对接至BACE1蛋白以确定最佳结合模式。使用Glide gscore和对接分子的化学相互作用来检查对接结果。使用-5 kcal/mol的截止值来选择具有高结合亲和力的命中化合物。基于Glide g得分共选择了7个命中化合物。此外,研究了对接配体的可能结合机制,发现所有7个选定的配体在蛋白质预测的结合口袋中占据相同的位点。化合物的生物活性得分表明所选化合物具有先导化合物的特征。预测了选定命中化合物的毒性风险和ADMET特征,并选择了4种化合物J032 - 0080、SC13 - 0774、V030 - 0915和V006 - 5608进行稳定性分析。选定的命中化合物极其稳定,与BACE1口袋紧密结合,并使用分子动力学(MD)建模评估了由均方根偏差(RMSD)、均方根波动(RMSF)和蛋白质 - 配体相互作用引起的构象变化。同样,主成分分析揭示了大量静态氢键。MM/GBSA结合自由能图谱显示选定命中化合物与BACE1结合时具有显著的能量贡献。结合自由能态势表明命中化合物以高结合亲和力结合。因此,这些命中化合物可作为生物物理研究中的先导化合物,以限制BACE1蛋白的生物活性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d29/11927919/a5002f7cab23/pone.0317716.g001.jpg

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