Bridging odorants and olfactory perception through machine learning: A review

Zhong, Risheng; Ji, Zongliang; Wang, Shuqi; Chen, Haitao

doi:10.1016/j.tifs.2024.104700

Trends in Food Science & Technology

2024

DOI: 10.1016/j.tifs.2024.104700

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Bridging odorants and olfactory perception through machine learning: A review

Risheng Zhong,

Zongliang Ji,

Shuqi Wang

et al.

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An overview on olfaction in the biological, analytical, computational, and machine learning fields

Chiera,

Costa,

Alcaro

et al. 2024

Archiv der Pharmazie

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Recently, the comprehension of odor perception has advanced, unveiling the mysteries of the molecular receptors within the nasal passages and the intricate mechanisms governing signal transmission between these receptors, the olfactory bulb, and the brain. This review provides a comprehensive panorama of odors, encompassing various topics ranging from the structural and molecular underpinnings of odorous substances to the physiological intricacies of olfactory perception. It extends to elucidate the analytical methods used for their identification and explores the frontiers of computational methodologies.

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An overview on olfaction in the biological, analytical, computational, and machine learning fields

Chiera,

Costa,

Alcaro

et al. 2024

Archiv der Pharmazie

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Bridging odorants and olfactory perception through machine learning: A review

Cited by 1 publication

References 112 publications

An overview on olfaction in the biological, analytical, computational, and machine learning fields

An overview on olfaction in the biological, analytical, computational, and machine learning fields

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