PhoSARte: identification of SARS-CoV-2 phosphorylation sites using contrastive learning and protein language models
- DOI
- 10.1093/bib/bbag504
- Published
- 2026-09-01
- Container
- Briefings in Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1093/bib/bbag504,
title = {PhoSARte: identification of SARS-CoV-2 phosphorylation sites using contrastive learning and protein language models},
author = {Nhat Truong Pham and Duong Thanh Tran and Qiaosen Su and Yeona Jung and Nattanong Bupi and Dahyun Kang and Sukchan Lee and Balachandran Manavalan},
year = {2026},
journal = {Briefings in Bioinformatics},
doi = {10.1093/bib/bbag504},
url = {https://doi.org/10.1093/bib/bbag504}
}RIS
TY - JOUR TI - PhoSARte: identification of SARS-CoV-2 phosphorylation sites using contrastive learning and protein language models AU - Nhat Truong Pham AU - Duong Thanh Tran AU - Qiaosen Su AU - Yeona Jung AU - Nattanong Bupi AU - Dahyun Kang AU - Sukchan Lee AU - Balachandran Manavalan PY - 2026 JO - Briefings in Bioinformatics DO - 10.1093/bib/bbag504 UR - https://doi.org/10.1093/bib/bbag504 ER -
APA
Pham, N. T., Tran, D. T., Su, Q., Jung, Y., Bupi, N., Kang, D., Lee, S., & Manavalan, B. (2026). PhoSARte: identification of SARS-CoV-2 phosphorylation sites using contrastive learning and protein language models. Briefings in Bioinformatics. https://doi.org/10.1093/bib/bbag504
Source records
- crossref · retrieved 2026-09-25T16:20:24.008Z