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Running ahead of evolution—AI-based simulation for predicting future high-risk SARS-CoV-2 variants

2023-07-29

Abstract excerpt

The never-ending emergence of SARS-CoV-2 variations of concern (VOCs) has challenged the whole world for pandemic control. In order to develop effective drugs and vaccines, one needs to efficiently simulate SARS-CoV-2 spike receptor-binding domain (RBD) mutations and identify high-risk variants. We pretrain a large protein language model with approximately 408 million protein sequences and construct a high-through...

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Literature Corpus work
a4d8be13-a5a9-59be-860d-b93dfac0755c
DOI
10.1177/10943420231188077
Open publication

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Running ahead of evolution—AI-based simulation for predicting future high-risk SARS-CoV-2 variantsDOI 10.1177/10943420231188077
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