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

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Title: UmamiPredict: machine learning model to predict umami taste of molecules and peptides.
Authors: Singh P; Department of Computer Science, Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), New Delhi, India., Goel M; Department of Computational Biology, Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), New Delhi, India.; Infosys Centre for Artificial Intelligence, Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), New Delhi, India.; Center of Excellence in Healthcare, Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), New Delhi, India., Garg D; Department of Computer Science, Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), New Delhi, India., Bhargav A; Department of Computer Science, Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), New Delhi, India., Bagler G; Department of Computational Biology, Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), New Delhi, India. bagler@iiitd.ac.in.; Infosys Centre for Artificial Intelligence, Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), New Delhi, India. bagler@iiitd.ac.in.; Center of Excellence in Healthcare, Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), New Delhi, India. bagler@iiitd.ac.in.
Source: Molecular diversity [Mol Divers] 2026 Apr; Vol. 30 (2), pp. 2365-2375. Date of Electronic Publication: 2025 Oct 04.
Publication Type: Journal Article
Journal Info: Publisher: ESCOM Science Publishers Country of Publication: Netherlands NLM ID: 9516534 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-501X (Electronic) Linking ISSN: 13811991 NLM ISO Abbreviation: Mol Divers Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1573-501X
DOI:10.1007/s11030-025-11371-8