Article

Prediction of SARS-CoV-2 spike protein mutations using Sequence-to-Sequence and Transformer models

2023-01-23

Abstract excerpt

In the study of viral epidemics, having information about the structural evolution of the virus can be very helpful in controlling the disease and making vaccines. Various deep learning and natural language processing techniques (NLP) can be used to analyze genetic structure of viruses, namely to predict their mutations. In this paper, by using Sequence-to-Sequence (Seq2Seq) model with Long Short-Term Memory (LSTM...

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Literature Corpus work: e3fa6932-6e02-53ad-8b9f-3f3999c54392
DOI: 10.1101/2023.01.23.525130

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