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Generating quantitative binding landscapes through fractional binding selections combined with deep sequencing and data normalization
Quantifying the effects of various mutations on binding free energy is crucial for understanding the evolution of protein-protein interactions and would greatly facilitate protein engineering studies. Yet, measuring changes in binding free energy (ΔΔG(bind)) remains a tedious task that requires expr...
Autores principales: | Heyne, Michael, Papo, Niv, Shifman, Julia M. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6962383/ https://www.ncbi.nlm.nih.gov/pubmed/31941882 http://dx.doi.org/10.1038/s41467-019-13895-8 |
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