Matches in SemOpenAlex for { <https://semopenalex.org/work/W2559094617> ?p ?o ?g. }
- W2559094617 abstract "ABSTRACT Predicting viral evolution remains a major challenge with profound implications for public health. Viral evolutionary pathways are determined by the fitness landscape, which maps viral genotype to fitness. However, a quantitative description of the landscape and the evolutionary forces on it remain elusive. Here, we apply a biophysical fitness model based on capsid folding stability and antibody binding affinity to predict the evolutionary pathway of norovirus escaping a neutralizing antibody. The model is validated by experimental evolution in bulk culture and in a drop-based microfluidics device, the “Evolution Chip”, which propagates millions of independent viral sub-populations. We demonstrate that along the axis of binding affinity, selection for escape variants and drift due to random mutations have the same direction. However, along folding stability, selection and drift are opposing forces whose balance is tuned by viral population size. Our results demonstrate that predictable epistatic tradeoffs shape viral evolution." @default.
- W2559094617 created "2016-12-08" @default.
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- W2559094617 date "2016-11-28" @default.
- W2559094617 modified "2023-10-01" @default.
- W2559094617 title "Tuning the course of evolution on the biophysical fitness landscape of an RNA virus" @default.
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- W2559094617 doi "https://doi.org/10.1101/090258" @default.
- W2559094617 hasPublicationYear "2016" @default.
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