Predicting Natural Evolution in the RBD Region of the Spike Glycoprotein of SARS-CoV-2 by Machine Learning.

Liu Y, He Z, Jia L, Xue Y, Du Y, Tan H, Zhang X, Ji Y, Tong Y, Xu H, Liu L

DOI: 10.3390/v16030477
Published: 2024 Mar 20
Container: Viruses
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/v16030477,
  title = {Predicting Natural Evolution in the RBD Region of the Spike Glycoprotein of SARS-CoV-2 by Machine Learning.},
  author = {Liu Y and He Z and Jia L and Xue Y and Du Y and Tan H and Zhang X and Ji Y and Tong Y and Xu H and Liu L},
  year = {2024},
  journal = {Viruses},
  doi = {10.3390/v16030477},
  url = {https://doi.org/10.3390/v16030477}
}

RIS

TY  - JOUR
TI  - Predicting Natural Evolution in the RBD Region of the Spike Glycoprotein of SARS-CoV-2 by Machine Learning.
AU  - Liu Y
AU  - He Z
AU  - Jia L
AU  - Xue Y
AU  - Du Y
AU  - Tan H
AU  - Zhang X
AU  - Ji Y
AU  - Tong Y
AU  - Xu H
AU  - Liu L
PY  - 2024
JO  - Viruses
DO  - 10.3390/v16030477
UR  - https://doi.org/10.3390/v16030477
ER  -

APA

Y, L., Z, H., L, J., Y, X., Y, D., H, T., X, Z., Y, J., Y, T., H, X., & L, L. (2024). Predicting Natural Evolution in the RBD Region of the Spike Glycoprotein of SARS-CoV-2 by Machine Learning.. Viruses. https://doi.org/10.3390/v16030477

Source records

pubmed · retrieved 2026-09-26T03:14:57.890Z