Computational identification of Commiphora phytocompounds targeting Aldose reductase and TNF-α in diabetic neuropathy

利用计算机方法鉴定糖尿病神经病变中靶向醛糖还原酶和TNF-α的没药属植物化合物

阅读:1

Abstract

Diabetic neuropathy is a common complication of diabetes, leading to nerve damage and severe pain. The phytocompounds synthesised from medicinal plants have shown potential therapeutic effects on diabetic neuropathy. In this study, we have investigated the effect of phytocompounds identified in Commiphora sp. on two key proteins involved in diabetic neuropathy Tumor Necrosis Factor-α (TNF-α) (PDB ID: 1TNF) and Aldose Reductase (PDB ID: 2FZB). A total of 23 (2-methoxy furanodiene, α -copaene, α -humulene, α-pinene, β- elemene, β-Pinene, β -selinene, camphene, camphorene, cembrane, cholestene, curzerene, cycloartane, dammarane, e-guggulsterone, germacrene, limonene, myrcene, oleanane, pregnane, pregnenolone, ursane, z-guggulsterone) phyto-chemical compounds from Commiphora were screened for binding affinity to TNF-α (PDB ID: 1TNF) and Aldose Reductase (PDB ID: 2FZB). Based on pharmacokinetic properties, molecular docking, and molecular dynamics simulations, two best scoring molecules were selected for further analysis. Docking analysis showed that Z-guggulsterone had the strongest binding affinity for Aldose Reductase ( -12.21 kcal/mol), which was better than E-guggulsterone ( -9.84 kcal/mol) and even the control inhibitor Ranirestat ( -10.48 kcal/mol). A molecular dynamics simulation lasting 200 ns confirmed that the complexes were stable. The Aldose Reductase ligand systems had low RMSD fluctuations (< 0.3 nm) and stable energy profiles. The MMPBSA analysis backed up these results, showing that Z-guggulsterone had the best binding free energy (- 9.83 ± 12.80 kJ/mol). The Free Energy Landscape (FEL) and PCA analysis also showed clear low-energy basins, which means that the conformational states stayed stable during the whole simulation. The study aimed to explore the interaction, binding affinity, and stability of these compounds with the target proteins, providing insight into their therapeutic potential. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40203-026-00595-7.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。