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Transfer learning to leverage larger datasets for improved prediction of protein stability changes
Amino acid mutations that lower a protein’s thermodynamic stability are implicated in numerous diseases, and engineered proteins with enhanced stability are important in research and medicine. Computational methods for predicting how mutations perturb protein stability are therefore of great interes...
Autores principales: | Dieckhaus, Henry, Brocidiacono, Michael, Randolph, Nicholas, Kuhlman, Brian |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10402116/ https://www.ncbi.nlm.nih.gov/pubmed/37547004 http://dx.doi.org/10.1101/2023.07.27.550881 |
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