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 Mar 28
- Container
- International journal of molecular sciences
- Publisher
- Not recorded
- Open access
- yes
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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 = {Song J and Jiang J and Zhang C and Guo S},
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 - Song J AU - Jiang J AU - Zhang C AU - Guo S PY - 2026 JO - International journal of molecular sciences DO - 10.3390/ijms27073097 UR - https://doi.org/10.3390/ijms27073097 ER -
APA
J, S., J, J., C, Z., & S, G. (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
- pubmed · retrieved 2026-09-25T01:44:43.502Z
- europe-pmc · retrieved 2026-09-25T01:44:43.529Z