Back to search

Article

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

2022-11-19

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...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
a5ca9522-bc5e-5559-9ffb-611bbbb806a9
DOI
10.1101/2022.11.17.516989
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Running ahead of evolution - AI based simulation for predicting future high-risk SARS-CoV-2 variantsDOI 10.1101/2022.11.17.516989
Select a neighboring publication to make it the new centre.