TasteMolNet: A machine learning-driven platform for sweet, bitter, and tasteless compounds prediction in food chemistry

Peiqin Shi; Mengfei Yang; Rui Chang; Hongli Yao

doi:10.1016/j.jfca.2026.108888

journal article Open Access Feb 01, 2026

TasteMolNet: A machine learning-driven platform for sweet, bitter, and tasteless compounds prediction in food chemistry

Peiqin Shi

Mengfei Yang Rui Chang

Hongli Yao

Journal of Food Composition and Analysis Vol. 150 pp. 108888 · Elsevier BV

View at Publisher Save 10.1016/j.jfca.2026.108888

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Details

Published: Feb 01, 2026
Vol/Issue: 150
Pages: 108888
License: View

Authors

Beijing Institute of Spacecraft System Engineering, China Academy of Space Technology, Beijing 100094, China.

Funding

Jiangnan University

Cite This Article

Peiqin Shi, Mengfei Yang, Rui Chang, et al. (2026). TasteMolNet: A machine learning-driven platform for sweet, bitter, and tasteless compounds prediction in food chemistry. Journal of Food Composition and Analysis, 150, 108888. https://doi.org/10.1016/j.jfca.2026.108888

TasteMolNet: A machine learning-driven platform for sweet, bitter, and tasteless compounds prediction in food chemistry

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