A Novel Weighted Ensemble Framework of Transformer and Deep Q-Network for ATP-Binding Site Prediction Using Protein Language Model Features
- DOI
- 10.3390/ijms27073097
- Published
- 2026-03-28
- Container
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/ijms27073097,
title = {A Novel Weighted Ensemble Framework of Transformer and Deep Q-Network for ATP-Binding Site Prediction Using Protein Language Model Features},
author = {Jiazhi Song and Jingqing Jiang and Chenrui Zhang and Shuni Guo},
year = {2026},
journal = {International Journal of Molecular Sciences},
doi = {10.3390/ijms27073097},
url = {https://doi.org/10.3390/ijms27073097}
}RIS
TY - JOUR TI - A Novel Weighted Ensemble Framework of Transformer and Deep Q-Network for ATP-Binding Site Prediction Using Protein Language Model Features AU - Jiazhi Song AU - Jingqing Jiang AU - Chenrui Zhang AU - Shuni Guo PY - 2026 JO - International Journal of Molecular Sciences DO - 10.3390/ijms27073097 UR - https://doi.org/10.3390/ijms27073097 ER -
APA
Song, J., Jiang, J., Zhang, C., & Guo, S. (2026). A Novel Weighted Ensemble Framework of Transformer and Deep Q-Network for ATP-Binding Site Prediction Using Protein Language Model Features. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms27073097
Source records
- crossref · retrieved 2026-11-04T20:28:06.415Z