Integrating multi-modal language models with graph structural learning for bioactive peptide prediction.
- DOI
- 10.1016/j.foodchem.2026.151971
- Published
- 2026 Nov 6
- Container
- Food chemistry
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.foodchem.2026.151971,
title = {Integrating multi-modal language models with graph structural learning for bioactive peptide prediction.},
author = {Wang S and Guan T and Zhang Z and Hu W},
year = {2026},
journal = {Food chemistry},
doi = {10.1016/j.foodchem.2026.151971},
url = {https://doi.org/10.1016/j.foodchem.2026.151971}
}RIS
TY - JOUR TI - Integrating multi-modal language models with graph structural learning for bioactive peptide prediction. AU - Wang S AU - Guan T AU - Zhang Z AU - Hu W PY - 2026 JO - Food chemistry DO - 10.1016/j.foodchem.2026.151971 UR - https://doi.org/10.1016/j.foodchem.2026.151971 ER -
APA
S, W., T, G., Z, Z., & W, H. (2026). Integrating multi-modal language models with graph structural learning for bioactive peptide prediction.. Food chemistry. https://doi.org/10.1016/j.foodchem.2026.151971
Source records
- pubmed · retrieved 2026-11-10T10:22:18.660Z