xBitterT5: an explainable transformer-based framework with multimodal inputs for identifying bitter-taste peptides

xBitterT5: an explainable transformer-based framework with multimodal inputs for identifying bitter-taste peptides

Abstract Bitter peptides (BPs), derived from the hydrolysis of proteins in food, play a crucial role in both food science and biomedicine by influencing taste perception and participating in various physiological processes. Accurate identification of BPs is essential for understanding food quality a...

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Bibliographic Details
Main Authors: Nguyen Doan Hieu Nguyen, Nhat Truong Pham, Duong Thanh Tran, Leyi Wei, Adeel Malik, Balachandran Manavalan
Format: Article
Language:English
Published: BMC 2025-08-01
Series:Journal of Cheminformatics
Subjects:
Bitter taste peptides
Molecular representations
Text-to-text transfer transformer
Multimodal analysis
Model interpretation
Online Access:https://doi.org/10.1186/s13321-025-01078-1
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https://doi.org/10.1186/s13321-025-01078-1

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