TextDTI: A Multimodal Context Representation Learning Framework for Drug–Target Interaction Prediction
- DOI
- 10.1021/acs.jcim.6c01435
- Published
- 2026-07-23
- Container
- Journal of Chemical Information and Modeling
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.jcim.6c01435,
title = {TextDTI: A Multimodal
Context Representation Learning
Framework for Drug–Target Interaction Prediction},
author = {Jiaqi Deng and Senyu Tang and Jijun Tang and Xiaoyi Liu},
year = {2026},
journal = {Journal of Chemical Information
and Modeling},
doi = {10.1021/acs.jcim.6c01435},
url = {https://doi.org/10.1021/acs.jcim.6c01435}
}RIS
TY - JOUR TI - TextDTI: A Multimodal Context Representation Learning Framework for Drug–Target Interaction Prediction AU - Jiaqi Deng AU - Senyu Tang AU - Jijun Tang AU - Xiaoyi Liu PY - 2026 JO - Journal of Chemical Information and Modeling DO - 10.1021/acs.jcim.6c01435 UR - https://doi.org/10.1021/acs.jcim.6c01435 ER -
APA
Deng, J., Tang, S., Tang, J., & Liu, X. (2026). TextDTI: A Multimodal Context Representation Learning Framework for Drug–Target Interaction Prediction. Journal of Chemical Information and Modeling. https://doi.org/10.1021/acs.jcim.6c01435
Source records
- crossref · retrieved 2026-09-25T22:17:57.827Z