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 Jun 12
- Container
- BMC bioinformatics
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
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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 = {Zhou G and Li B and Zhang W and Bao S and Chen H and Li H and Wang H and Mi J and Shen J},
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 - Zhou G AU - Li B AU - Zhang W AU - Bao S AU - Chen H AU - Li H AU - Wang H AU - Mi J AU - Shen J PY - 2026 JO - BMC bioinformatics DO - 10.1186/s12859-026-06481-5 UR - https://doi.org/10.1186/s12859-026-06481-5 ER -
APA
G, Z., B, L., W, Z., S, B., H, C., H, L., H, W., J, M., & J, S. (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