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Machine learning modeling for solubility prediction of recombinant antibody fragment in four different E. coli strains
The solubility of proteins is usually a necessity for their functioning. Recently an emergence of machine learning approaches as trained alternatives to statistical models has been evidenced for empirical modeling and optimization. Here, soluble production of anti-EpCAM extracellular domain (EpEx) s...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971470/ https://www.ncbi.nlm.nih.gov/pubmed/35361835 http://dx.doi.org/10.1038/s41598-022-09500-6 |