Peer-reviewedCC BY-NC-ND 4.0Scientific Reports
BioInteract combines residue-level cross-attention with protein-language and physicochemical priors for interpretable drug–target interaction prediction
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BibTeX
@article{wang2026biointeract,
title = {{BioInteract combines residue-level cross-attention with protein-language and physicochemical priors for interpretable drug–target interaction prediction}},
author = {Shengnan Wang and Qi Zhang and Xucheng Liu and Zixuan Wang and Jiangke Cheng and Zhi Huang},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-75194-9},
url = {https://www.nature.com/articles/s41598-026-75194-9},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - BioInteract combines residue-level cross-attention with protein-language and physicochemical priors for interpretable drug–target interaction prediction
AU - Shengnan Wang
AU - Qi Zhang
AU - Xucheng Liu
AU - Zixuan Wang
AU - Jiangke Cheng
AU - Zhi Huang
PY - 2026
DA - 2026/10/15
JO - Scientific Reports
DO - 10.1038/s41598-026-75194-9
UR - https://www.nature.com/articles/s41598-026-75194-9
SN - 2045-2322
ER -