DeepGVS: a bimodal deep learning framework integrating coding-sequence and protein-structural representations for virulence factor prediction
- DOI
- 10.1093/bioinformatics/btag698
- Published
- 2026-09-21
- Container
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1093/bioinformatics/btag698,
title = {DeepGVS: a bimodal deep learning framework integrating coding-sequence and protein-structural representations for virulence factor prediction},
author = {Yan Miao and Tingting Zou and Zhenyuan Sun and Yuming Zhao and Guohua Wang},
year = {2026},
journal = {Bioinformatics},
doi = {10.1093/bioinformatics/btag698},
url = {https://doi.org/10.1093/bioinformatics/btag698}
}RIS
TY - JOUR TI - DeepGVS: a bimodal deep learning framework integrating coding-sequence and protein-structural representations for virulence factor prediction AU - Yan Miao AU - Tingting Zou AU - Zhenyuan Sun AU - Yuming Zhao AU - Guohua Wang PY - 2026 JO - Bioinformatics DO - 10.1093/bioinformatics/btag698 UR - https://doi.org/10.1093/bioinformatics/btag698 ER -
APA
Miao, Y., Zou, T., Sun, Z., Zhao, Y., & Wang, G. (2026). DeepGVS: a bimodal deep learning framework integrating coding-sequence and protein-structural representations for virulence factor prediction. Bioinformatics. https://doi.org/10.1093/bioinformatics/btag698
Source records
- crossref · retrieved 2026-09-24T21:49:44.605Z