Daily archives: 29. August 2022

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Predicting Mutations

M. Cyrus Maher et al. (ed.): Predicting the mutational drivers of future SARS-CoV-2 variants of concern, in: Science Translational Medicine 14, Nr. 633 (January 11, 2022) S. 1-10, online in: https://doi.org/10.1126/scitranslmed.abk3445. Abstract SARS-CoV-2 evolution threatens vaccine- and natural infection–derived immunity and the efficacy of therapeutic antibodies. To improve public health preparedness, the authors sought to predict which existing amino acid mutations in SARS-CoV-2 might contribute to future variants of concern. They tested the predictive value of features comprising epidemiology, evolution, immunology, and neural network–based protein sequence modeling and identified primary biological drivers of SARS-CoV-2 intrapandemic evolution. The authors found evidence […]