MLI-DTA: An interpretable multimodal framework with multi-level interactions for drug-target affinity prediction
- DOI
- 10.1016/j.ejmech.2026.119301
- Published
- 2026-12
- Container
- European Journal of Medicinal Chemistry
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ejmech.2026.119301,
title = {MLI-DTA: An interpretable multimodal framework with multi-level interactions for drug-target affinity prediction},
author = {Yuning Liu and Guangze Wang and Dan Liu and Jun Wang and Xiaohu Shi and Shiqian Han},
year = {2026},
journal = {European Journal of Medicinal Chemistry},
doi = {10.1016/j.ejmech.2026.119301},
url = {https://doi.org/10.1016/j.ejmech.2026.119301}
}RIS
TY - JOUR TI - MLI-DTA: An interpretable multimodal framework with multi-level interactions for drug-target affinity prediction AU - Yuning Liu AU - Guangze Wang AU - Dan Liu AU - Jun Wang AU - Xiaohu Shi AU - Shiqian Han PY - 2026 JO - European Journal of Medicinal Chemistry DO - 10.1016/j.ejmech.2026.119301 UR - https://doi.org/10.1016/j.ejmech.2026.119301 ER -
APA
Liu, Y., Wang, G., Liu, D., Wang, J., Shi, X., & Han, S. (2026). MLI-DTA: An interpretable multimodal framework with multi-level interactions for drug-target affinity prediction. European Journal of Medicinal Chemistry. https://doi.org/10.1016/j.ejmech.2026.119301
Source records
- crossref · retrieved 2026-09-25T14:18:17.093Z