ESM2-BiMamba: A Length-Adaptive Hybrid Framework for Efficient Concurrent Prediction of DNA-Binding Proteins and DNA-Binding Residue Sites

Yun Zhou, Hanlei Qiu, Dong Liu, Wei Wang

Open source

DOI
10.1021/acs.jcim.6c01246
Published
2026-06-25
Container
Journal of Chemical Information and Modeling
Publisher
American Chemical Society (ACS)
Open access
unknown

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BibTeX

@article{allodium:10.1021/acs.jcim.6c01246,
  title = {ESM2-BiMamba: A
Length-Adaptive Hybrid Framework for
Efficient Concurrent Prediction of DNA-Binding Proteins and DNA-Binding
Residue Sites},
  author = {Yun Zhou and Hanlei Qiu and Dong Liu and Wei Wang},
  year = {2026},
  journal = {Journal of Chemical Information
and Modeling},
  doi = {10.1021/acs.jcim.6c01246},
  url = {https://doi.org/10.1021/acs.jcim.6c01246}
}

RIS

TY  - JOUR
TI  - ESM2-BiMamba: A
Length-Adaptive Hybrid Framework for
Efficient Concurrent Prediction of DNA-Binding Proteins and DNA-Binding
Residue Sites
AU  - Yun Zhou
AU  - Hanlei Qiu
AU  - Dong Liu
AU  - Wei Wang
PY  - 2026
JO  - Journal of Chemical Information
and Modeling
DO  - 10.1021/acs.jcim.6c01246
UR  - https://doi.org/10.1021/acs.jcim.6c01246
ER  - 

APA

Zhou, Y., Qiu, H., Liu, D., & Wang, W. (2026). ESM2-BiMamba: A Length-Adaptive Hybrid Framework for Efficient Concurrent Prediction of DNA-Binding Proteins and DNA-Binding Residue Sites. Journal of Chemical Information and Modeling. https://doi.org/10.1021/acs.jcim.6c01246

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