DVNDTA: a dual virtual node based heterogeneous interaction model for accurate prediction of drug-target affinity
- DOI
- 10.1186/s12859-026-06481-5
- Published
- 2026-06-12
- Container
- BMC Bioinformatics
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s12859-026-06481-5,
title = {DVNDTA: a dual virtual node based heterogeneous interaction model for accurate prediction of drug-target affinity},
author = {Guoqiang Zhou and Ben Li and Weifeng Zhang and Shudi Bao and Huaming Chen and Haoran Li and Huan Wang and Jiacong Mi and Jun Shen},
year = {2026},
journal = {BMC Bioinformatics},
doi = {10.1186/s12859-026-06481-5},
url = {https://doi.org/10.1186/s12859-026-06481-5}
}RIS
TY - JOUR TI - DVNDTA: a dual virtual node based heterogeneous interaction model for accurate prediction of drug-target affinity AU - Guoqiang Zhou AU - Ben Li AU - Weifeng Zhang AU - Shudi Bao AU - Huaming Chen AU - Haoran Li AU - Huan Wang AU - Jiacong Mi AU - Jun Shen PY - 2026 JO - BMC Bioinformatics DO - 10.1186/s12859-026-06481-5 UR - https://doi.org/10.1186/s12859-026-06481-5 ER -
APA
Zhou, G., Li, B., Zhang, W., Bao, S., Chen, H., Li, H., Wang, H., Mi, J., & Shen, J. (2026). DVNDTA: a dual virtual node based heterogeneous interaction model for accurate prediction of drug-target affinity. BMC Bioinformatics. https://doi.org/10.1186/s12859-026-06481-5
Source records
- crossref · retrieved 2026-11-08T06:02:26.059Z