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对印度铁苋菜植物化学物质作为靶向酿酒酵母羊毛甾醇14-α-去甲基酶的潜在抗真菌剂的计算机模拟评估。

In Silico Evaluation of Acalypha indica Phytochemicals as Potential Antifungal Agents Targeting Saccharomyces cerevisiae Lanosterol 14-Alpha Demethylase.

作者信息

Edwin Mic Arun, Velmurugan Ramaiyan, Patel Saraswati

机构信息

Department of Pharmacology, Saveetha College of Pharmacy, Saveetha Institute of Medical and Technical Sciences, Chennai, India.

出版信息

Cell Biochem Biophys. 2025 Jul 22. doi: 10.1007/s12013-025-01836-w.

DOI:10.1007/s12013-025-01836-w
PMID:40694301
Abstract

The rise in antifungal resistance underscores the need to explore novel bioactive compounds. This study investigates phytochemicals from Acalypha indica as potential inhibitors of lanosterol 14-alpha demethylase (CYP51) in Saccharomyces cerevisiae. A total of sixteen phytocompounds were evaluated using molecular docking, MM/GBSA binding free energy estimation, pharmacokinetic and toxicity predictions, and 200 ns molecular dynamics (MD) simulations. Among them, stigmasterol, aurantiamide, and beta-sitosterol showed strong binding affinities, comparable to standard drugs fluconazole and itraconazole. ADME analysis revealed good drug-likeness and gastrointestinal absorption for aurantiamide and 2-methylanthraquinone. ProTox-III predictions indicated low mutagenic and carcinogenic risks for most compounds, although aurantiamide may have nephrotoxic and respiratory toxicity concerns. Top ligands aurantiamide and stigmasterol were further subjected to MD simulations, which demonstrated stable RMSD, low RMSF, and well-maintained secondary structure, indicating strong interaction persistence and structural integrity. Ligand behaviour metrics (rGyr, SASA, MolSA, PSA, intra-HB) supported their binding stability. While aurantiamide exhibited an unfavourable binding energy (+228.37 kcal/mol), stigmasterol displayed a significantly favourable ΔG_bind (-93.36 kcal/mol). These findings suggest that stigmasterol and related phytochemicals hold promise as natural antifungal agents. However, further in vitro and in vivo validation, along with structure-activity relationship (SAR) optimization, is essential for clinical advancement.

摘要

抗真菌耐药性的上升凸显了探索新型生物活性化合物的必要性。本研究调查了印度铁苋菜中的植物化学物质作为酿酒酵母中羊毛甾醇14-α脱甲基酶(CYP51)潜在抑制剂的情况。使用分子对接、MM/GBSA结合自由能估计、药代动力学和毒性预测以及200 ns分子动力学(MD)模拟对总共16种植物化合物进行了评估。其中,豆甾醇、橙酰胺和β-谷甾醇表现出与标准药物氟康唑和伊曲康唑相当的强结合亲和力。ADME分析显示橙酰胺和2-甲基蒽醌具有良好的药物相似性和胃肠道吸收性。ProTox-III预测表明大多数化合物的诱变和致癌风险较低,尽管橙酰胺可能存在肾毒性和呼吸毒性问题。对顶级配体橙酰胺和豆甾醇进一步进行MD模拟,结果显示其具有稳定的RMSD、低RMSF以及维持良好的二级结构,表明其具有较强的相互作用持久性和结构完整性。配体行为指标(rGyr、SASA、MolSA、PSA、分子内氢键)支持了它们的结合稳定性。虽然橙酰胺表现出不利的结合能(+228.37 kcal/mol),但豆甾醇显示出显著有利的ΔG_bind(-93.36 kcal/mol)。这些发现表明豆甾醇和相关植物化学物质有望成为天然抗真菌剂。然而,进一步的体外和体内验证以及结构-活性关系(SAR)优化对于临床应用至关重要。

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