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Modeling non-additive contributions of F294L and A835D to scVSV-SHC014-CoV fitness.

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Figshare2024-11-15 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Modeling_non-additive_contributions_of_F294L_and_A835D_to_scVSV-SHC014-CoV_fitness_/27769583
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The simplex regression method of Miton and colleagues was used to estimate the additive and non-additive contributions of each mutation to the double-mutant phenotype. Tabs 1–3: Analysis of scVSV:HsACE binding. Tabs 4–6: Analysis of scVSV:DBT-HsACE infectivity. Tabs 1, 4: Log-transformed and WT-subtracted data. Tabs 2, 5: Best-fit model for each dataset. ‘order 1’ = additive contributions. Higher-order (i.e., epistatic) contributions did not reach statistical significance (p = 0.05). Tabs 3, 6: Effect of each mutation position. (XLSX)
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2024-11-15
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