AI-Driven Drug–Target Interaction Prediction: From Data Representation to Model Design

Jiaxuan Hu, Lianlian Wu, Song He, Xiaochen Bo, Jiang Lu

Open source

DOI: 10.1021/acs.jcim.6c01920
Published: 2026-08-21
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.6c01920,
  title = {AI-Driven Drug–Target
Interaction Prediction:
From Data Representation to Model Design},
  author = {Jiaxuan Hu and Lianlian Wu and Song He and Xiaochen Bo and Jiang Lu},
  year = {2026},
  journal = {Journal of Chemical Information
and Modeling},
  doi = {10.1021/acs.jcim.6c01920},
  url = {https://doi.org/10.1021/acs.jcim.6c01920}
}

RIS

TY  - JOUR
TI  - AI-Driven Drug–Target
Interaction Prediction:
From Data Representation to Model Design
AU  - Jiaxuan Hu
AU  - Lianlian Wu
AU  - Song He
AU  - Xiaochen Bo
AU  - Jiang Lu
PY  - 2026
JO  - Journal of Chemical Information
and Modeling
DO  - 10.1021/acs.jcim.6c01920
UR  - https://doi.org/10.1021/acs.jcim.6c01920
ER  -

APA

Hu, J., Wu, L., He, S., Bo, X., & Lu, J. (2026). AI-Driven Drug–Target Interaction Prediction: From Data Representation to Model Design. Journal of Chemical Information and Modeling. https://doi.org/10.1021/acs.jcim.6c01920

Source records

crossref · retrieved 2026-09-25T10:51:41.372Z