CODA-DTA: A context-guided model for predicting drug-target binding affinity in new compounds and targets.

Zhou Z, Chen M, Zhou W, Xiao Q, Ziyao Y.

DOI: 10.1016/j.ejmech.2026.119486
Published: 2026-11-05
Container: Eur J Med Chem
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1016/j.ejmech.2026.119486,
  title = {CODA-DTA: A context-guided model for predicting drug-target binding affinity in new compounds and targets.},
  author = {Zhou Z and  Chen M and  Zhou W and  Xiao Q and  Ziyao Y.},
  year = {2026},
  journal = {Eur J Med Chem},
  doi = {10.1016/j.ejmech.2026.119486},
  url = {https://doi.org/10.1016/j.ejmech.2026.119486}
}

RIS

TY  - JOUR
TI  - CODA-DTA: A context-guided model for predicting drug-target binding affinity in new compounds and targets.
AU  - Zhou Z
AU  -  Chen M
AU  -  Zhou W
AU  -  Xiao Q
AU  -  Ziyao Y.
PY  - 2026
JO  - Eur J Med Chem
DO  - 10.1016/j.ejmech.2026.119486
UR  - https://doi.org/10.1016/j.ejmech.2026.119486
ER  -

APA

Z, Z., M, C., W, Z., Q, X., & Y., Z. (2026). CODA-DTA: A context-guided model for predicting drug-target binding affinity in new compounds and targets.. Eur J Med Chem. https://doi.org/10.1016/j.ejmech.2026.119486

Source records

europe-pmc · retrieved 2026-11-10T11:31:43.113Z