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...

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Detalles Bibliográficos
Autores principales: Hashemi, Atieh, Basafa, Majid, Behravan, Aidin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
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

Internet

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

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