UmamiPredict: machine learning model to predict umami taste of molecules and peptides.

Singh P, Goel M, Garg D, Bhargav A, Bagler G

DOI: 10.1007/s11030-025-11371-8
Published: 2026 Apr
Container: Molecular diversity
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s11030-025-11371-8,
  title = {UmamiPredict: machine learning model to predict umami taste of molecules and peptides.},
  author = {Singh P and Goel M and Garg D and Bhargav A and Bagler G},
  year = {2026},
  journal = {Molecular diversity},
  doi = {10.1007/s11030-025-11371-8},
  url = {https://doi.org/10.1007/s11030-025-11371-8}
}

RIS

TY  - JOUR
TI  - UmamiPredict: machine learning model to predict umami taste of molecules and peptides.
AU  - Singh P
AU  - Goel M
AU  - Garg D
AU  - Bhargav A
AU  - Bagler G
PY  - 2026
JO  - Molecular diversity
DO  - 10.1007/s11030-025-11371-8
UR  - https://doi.org/10.1007/s11030-025-11371-8
ER  -

APA

P, S., M, G., D, G., A, B., & G, B. (2026). UmamiPredict: machine learning model to predict umami taste of molecules and peptides.. Molecular diversity. https://doi.org/10.1007/s11030-025-11371-8

Source records

pubmed · retrieved 2026-09-25T18:18:08.467Z