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Increasing protein stability by inferring substitution effects from high-throughput experiments
We apply a computational model, global multi-mutant analysis (GMMA), to inform on effects of most amino acid substitutions from a randomly mutated gene library. Using a high mutation frequency, the method can determine mutations that increase the stability of even very stable proteins for which conv...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9701609/ https://www.ncbi.nlm.nih.gov/pubmed/36452862 http://dx.doi.org/10.1016/j.crmeth.2022.100333 |