MAIDTA: an interpretable attention-based multi-modal model for drug-target affinity prediction.

Li M, Dong M, Li H, Peng Y, Li Z.

DOI: 10.1080/10255842.2026.2727109
Published: 2026-09-03
Container: Comput Methods Biomech Biomed Engin
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1080/10255842.2026.2727109,
  title = {MAIDTA: an interpretable attention-based multi-modal model for drug-target affinity prediction.},
  author = {Li M and  Dong M and  Li H and  Peng Y and  Li Z.},
  year = {2026},
  journal = {Comput Methods Biomech Biomed Engin},
  doi = {10.1080/10255842.2026.2727109},
  url = {https://doi.org/10.1080/10255842.2026.2727109}
}

RIS

TY  - JOUR
TI  - MAIDTA: an interpretable attention-based multi-modal model for drug-target affinity prediction.
AU  - Li M
AU  -  Dong M
AU  -  Li H
AU  -  Peng Y
AU  -  Li Z.
PY  - 2026
JO  - Comput Methods Biomech Biomed Engin
DO  - 10.1080/10255842.2026.2727109
UR  - https://doi.org/10.1080/10255842.2026.2727109
ER  -

APA

M, L., M, D., H, L., Y, P., & Z., L. (2026). MAIDTA: an interpretable attention-based multi-modal model for drug-target affinity prediction.. Comput Methods Biomech Biomed Engin. https://doi.org/10.1080/10255842.2026.2727109

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europe-pmc · retrieved 2026-09-26T07:19:58.400Z