Mutations and the emergence of new variants of SARS-CoV-2 have become an alarming concern worldwide. Researchers from all over the world are constantly working to depict the patterns of mutations and their spread. In a recent study published in Science Translational Medicine, researchers have developed a technique that can predict the spread of varying mutations. Table 1 provides an overview of the study conducted and the predictive values used to identify sequence change. Table1.
Study parameters Table 2 enlists the details of the predictor values of the model. Table 2. Predictor values Results Among the predictive values included in the predictor model, the best predictors were epidemiologic features and positive selection features. The developed model revealed that the top five spreading mutations had different protein sequence changes and were most at risk of transmission. The top…
