Empowering federated learning for robust compound-protein interaction prediction across heterogeneous cross-pharma domains
- DOI
- 10.1186/s13321-025-01147-5
- Published
- 2026-01-10
- Container
- Journal of Cheminformatics
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s13321-025-01147-5,
title = {Empowering federated learning for robust compound-protein interaction prediction across heterogeneous cross-pharma domains},
author = {Takuto Koyama and Hiroaki Iwata and Ryosuke Kojima and Takao Otsuka and Aki Hasegawa and Seungeon Lee and Hiroshi Ueda and Toshiharu Morimoto and Ryoko Sasaki and Nao Torimoto and Sei Murakami and Manabu Tojo and Teruki Honma and Shigeyuki Matsumoto and Yasushi Okuno},
year = {2026},
journal = {Journal of Cheminformatics},
doi = {10.1186/s13321-025-01147-5},
url = {https://doi.org/10.1186/s13321-025-01147-5}
}RIS
TY - JOUR TI - Empowering federated learning for robust compound-protein interaction prediction across heterogeneous cross-pharma domains AU - Takuto Koyama AU - Hiroaki Iwata AU - Ryosuke Kojima AU - Takao Otsuka AU - Aki Hasegawa AU - Seungeon Lee AU - Hiroshi Ueda AU - Toshiharu Morimoto AU - Ryoko Sasaki AU - Nao Torimoto AU - Sei Murakami AU - Manabu Tojo AU - Teruki Honma AU - Shigeyuki Matsumoto AU - Yasushi Okuno PY - 2026 JO - Journal of Cheminformatics DO - 10.1186/s13321-025-01147-5 UR - https://doi.org/10.1186/s13321-025-01147-5 ER -
APA
Koyama, T., Iwata, H., Kojima, R., Otsuka, T., Hasegawa, A., Lee, S., Ueda, H., Morimoto, T., Sasaki, R., Torimoto, N., Murakami, S., Tojo, M., Honma, T., Matsumoto, S., & Okuno, Y. (2026). Empowering federated learning for robust compound-protein interaction prediction across heterogeneous cross-pharma domains. Journal of Cheminformatics. https://doi.org/10.1186/s13321-025-01147-5
Source records
- crossref · retrieved 2026-09-27T10:50:57.672Z