Cargando…
Data-driven strategies for the computational design of enzyme thermal stability: trends, perspectives, and prospects: Data-driven strategies for enzyme thermostability design
Thermal stability is one of the most important properties of enzymes, which sustains life and determines the potential for the industrial application of biocatalysts. Although traditional methods such as directed evolution and classical rational design contribute greatly to this field, the enormous...
Autores principales: | Dou, Zhixin, Sun, Yuqing, Jiang, Xukai, Wu, Xiuyun, Li, Yingjie, Gong, Bin, Wang, Lushan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160227/ https://www.ncbi.nlm.nih.gov/pubmed/37143326 http://dx.doi.org/10.3724/abbs.2023033 |
Ejemplares similares
-
Data-Driven Strategies for Accelerated Materials Design
por: Pollice, Robert, et al.
Publicado: (2021) -
A sequence embedding method for enzyme optimal condition analysis
por: Li, Xiangjun, et al.
Publicado: (2020) -
Two strategies to engineer flexible loops for improved enzyme thermostability
por: Yu, Haoran, et al.
Publicado: (2017) -
Characterization of the first naturally thermostable terpene synthases and development of strategies to improve thermostability in this family of enzymes
por: Styles, Matthew Q., et al.
Publicado: (2017) -
Data-Driven Design of Transparent Thermal Insulating Nanoscale Layered Oxides
por: Wu, Yen-Ju, et al.
Publicado: (2023)