MPEPE, a predictive approach to improve protein expression in E. coli based on deep learning

The expression of proteins in Escherichia coli is often essential for their characterization, modification, and subsequent application. Gene sequence is the major factor contributing expression. In this study, we used the expression data from 6438 heterologous proteins under the same expression cond...

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Detalles Bibliográficos
Autores principales: Ding, Zundan, Guan, Feifei, Xu, Guoshun, Wang, Yuchen, Yan, Yaru, Zhang, Wei, Wu, Ningfeng, Yao, Bin, Huang, Huoqing, Tuller, Tamir, Tian, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8913310/
https://www.ncbi.nlm.nih.gov/pubmed/35317239
http://dx.doi.org/10.1016/j.csbj.2022.02.030

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8913310/
https://www.ncbi.nlm.nih.gov/pubmed/35317239
http://dx.doi.org/10.1016/j.csbj.2022.02.030

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