整合光谱学,分子对接和机器学习来破译菌毒素-蛋白质结合机制
Harshal V Barkale1, Swapan Patra1, Nilanjan Dey1
1Department of Chemistry, Birla Institute of Technology and Science Pilani, Hyderabad, Telangana 500078, India.
ACS applied bio materials
|February 2, 2026
概括
奥克拉托辛A (OTA) 强烈地与人体血清白蛋白 (HSA) 结合,与氨酸 (CIT) 不同. 这项研究整合了光谱学,机器学习和对接,以揭示毒性评估的真菌毒素蛋白相互作用.
科学领域:
- 生物化学 生物化学
- 毒理学 毒理学 毒理学
- 计算化学计算化学
背景情况:
- 毒素如毒素A (OTA) 和素 (CIT) 构成严重的健康风险.
- 了解它们与球状蛋白的相互作用,如人血清白蛋白 (HSA) 和酶 (LYS),对于评估毒性至关重要.
研究的目的:
- 研究OTA和CIT与HSA和LYS的分子结合机制.
- 为了比较这些真菌毒素与不同蛋白质的结合亲和力和相互作用力.
- 评估综合光谱,计算和机器学习 (ML) 方法的有效性,以研究菌毒素与蛋白质相互作用.
主要方法:
- 综合光谱技术 (光和紫外线可见) 用于分析菌毒素与蛋白质的结合.
- 计算方法包括分子对接来预测结合模式和亲和力.
- 机器学习 (ML) 模型 (随机森林,高斯过程回归) 来预测火行为.
主要成果:
- 通过静态火,OTA表现出强烈的,由力驱动的结合HSA,通过键和范德瓦尔斯力稳定.
- CIT显示较弱,与HSA和LYS的极性驱动相互作用.
- ML模型准确地预测了火行为 (R2 ≈ 0.985),表现优于传统方法.
- 与其他复合物相比,分子对接证实了OTA和HSA之间更强的亲和力.
结论:
- 谱学,ML和对接的综合方法为菌毒素与蛋白质结合提供了定量和机械的见解.
- 这些发现对于制定菌根毒素毒性评估和排毒策略非常有价值.
- OTA-HSA相互作用是具有重大毒理影响的关键结合事件.
关键词:
氨酸 (citrinin) 是一种氨酸.人类血清白蛋白的人类血清白蛋白.机器学习是机器学习.分子对接的分子对接.菌毒素与蛋白质的相互作用ochratoxin A 甲氧素 A 是一种可怕的物质.频谱学分析的分析.更多相关视频
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