Modeling the trajectory of SARS-CoV-2 spike protein evolution in continuous latent space using a neural network and Gaussian process
S. B. King, Xinyi E. Chen, Sarah W.S. Ng, Kimia Rostin, Tylo Roberts, Samuel V. Hahn, Janella C. Schwab, Parneet Sekhon, Madina Kagieva, Taylor Reilly, Ruo Chen Qi, Paarsa Salman, Ryan J. Hong, Eric J. Ma, Steven Hallam
This paper models SARS-CoV-2 spike protein evolution using a neural network and Gaussian process to predict future variants up to five months in advance.
bioRxiv · Dec 4, 2021 · PreprintBioinformatics