Prediction of SARS-CoV-2 spike protein mutations using Sequence-to-Sequence and Transformer models
Hamed Ahmadi, Vahid Nikoofard, Hossein Nikoofard, Rouhollah Haji Abdolvahab, Narges Nikoofard, Mahdi Esmaeilzadeh
The paper uses Seq2Seq and Transformer models to predict SARS-CoV-2 spike protein mutations and finds some generated sequences match known variants from 2021 and 2022.
bioRxiv · Jan 23, 2023 · PreprintBioinformatics