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Guiding protein design choices by per-residue energy breakdown analysis with an interactive web application
Recent developments in machine learning have greatly facilitated the design of proteins with improved properties. However, accurately assessing the contributions of an individual or multiple amino acid mutations to overall protein stability to select the most promising mutants remains a challenge. K...
Autores principales: | Engelberger, Felipe, Zakary, Jonathan D., Künze, Georg |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204868/ https://www.ncbi.nlm.nih.gov/pubmed/37228581 http://dx.doi.org/10.3389/fmolb.2023.1178035 |
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