Predicting the mutational drivers of future SARS-CoV-2 variants of concern

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Predicting the mutational drivers of future SARS-CoV-2 variants of concern
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A new predictive model allows scientists to attempt to forecast the appearance of potential new mutations in emerging and future variants SARSCoV2, according to a new ScienceTM study. Read more:

For visualization purposes, Epi Scores have been calculated as Z-scores, which correlate to the default, rank-based calculation as a spearman R > 0.99. Points highlighted in color occur at a frequency over 0.1% on a Delta background and occur at significantly positively selected sites

In summary, we established a method for predicting spreading mutations and applied it to forecast future contributors to putative VOCs/VOIs/VBMs. These predictions yield mutations known to be important from in vitro data. We conclude that this approach can anticipate spreading mutations many months in advance. We find that a subset of forecast mutations could have implications for the continued efficacy of clinical antibodies, but that the level of these effects varies widely.

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