Cargando…
Natural Evolution Provides Strong Hints about Laboratory Evolution of Designer Enzymes
Laboratory evolution combined with computational enzyme design provides the opportunity to generate novel biocatalysts. Nevertheless, it has been challenging to understand how laboratory evolution optimizes designer enzymes by introducing seemingly random mutations. A typical enzyme optimized with l...
Autores principales: | Xie, Wen Jun, Warshel, Arieh |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9351539/ https://www.ncbi.nlm.nih.gov/pubmed/35901204 http://dx.doi.org/10.1073/pnas.2207904119 |
Ejemplares similares
-
Harnessing Generative AI to Decode Enzyme Catalysis and Evolution for Enhanced Engineering
por: Xie, Wen Jun, et al.
Publicado: (2023) -
Enhancing computational enzyme design by a maximum entropy strategy
por: Xie, Wen Jun, et al.
Publicado: (2022) -
Computer modeling of chemical reactions in enzymes and solutions
por: Warshel, Arieh
Publicado: (1991) -
Electrostatic influence on IL-1 transport through the GSDMD pore
por: Xie, Wen Jun, et al.
Publicado: (2022) -
Enhancing Luciferase Activity and Stability through Generative Modeling of Natural Enzyme Sequences
por: Xie, Wen Jun, et al.
Publicado: (2023)