基于性学和机器学习的发酵海产生的乌玛米的深度发现和味道呈现机制研究
Chunxin Wang1, Yanyan Wu2, Huan Xiang3
1Key Laboratory of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs, National R&D Center for Aquatic Product Processing, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China; College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
Food chemistry
|March 24, 2024
概括
这项研究引入了一种有效的方法,用于在发酵的海中识别umami,使用peptidomics和机器学习. 它揭示了关键和它们的结合相互作用,为味道探索铺平了道路.
科学领域:
- 食品科学 食品科学 食品科学
- 生物化学 生物化学
- 计算生物学 计算生物学
背景情况:
- 从发酵的海中获得的乌玛米可以提供独特的风味.
- 传统的乌玛米的选方法耗时且复杂.
研究的目的:
- 开发一种高效的选方法,以检测发酵海中的乌玛米.
- 通过分子对接来研究乌玛米的味道呈现机制.
主要方法:
- 化学和机器学习被用于选.
- 对已识别的与T1R1/T1R3受体进行了分子对接.
主要成果:
- 鉴定出了70种乌玛米,它们来自28种前体蛋白.
- 六种与T1R3形成稳定的复合体,特定的氨基酸残留被确定为关键结合点.
- 芳香相互作用,键,水友键和溶剂可访问的表面是关键的相互作用力.
结论:
- 建立了一个高效的peptidomics和机器学习方法,用于乌玛米的查.
- 这项研究提供了关于发酵鱼中乌玛米味觉感知分子机制的见解.
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