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Updated: May 27, 2025

Author Spotlight: Exploring Olfactory Influences on Corticospinal Excitability - Insights and Innovations in Neurological Research
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解码结构-盐度增强和气味感知机制的计算方法:从机器学习到分子模拟

Huizhuo Ji1, Dandan Pu2, Lijun Su3

  • 1National Engineering Research Center for Agri-Product Quality Traceability, Beijing Technology and Business University, Beijing 100048, China; Key Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, 100048, China.

Food research international (Ottawa, Ont.)
|February 19, 2025
PubMed
概括

了解味的气味结构-盐度增强感知 (SEP) 是食品应用的关键. 机器学习和模拟揭示了驱动SEP的关键分子特征和相互作用,指导了新型味化合物的开发.

关键词:
机器学习 机器学习分子对接是分子对接.嗅觉受体是一种嗅觉受体.有味道的香味的味道.局部导向的突变发生.

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Real-time In Vitro Monitoring of Odorant Receptor Activation by an Odorant in the Vapor Phase09:53

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