Team:SZU-China/Model
Models
In the project, we used Pymol and Discovery studio to perform molecular docking and virtual amino acid mutations on β-glucosidase to improve its enzymatic activity. In order to predict the optimal harvest time of β-glucosidase, we established a gene expression model. At the same time, we established a BP neural network model based on the orthogonal test to predict the production of gardenia blue, and then used genetic algorithm to optimize.
Virtual amino acid mutation
Expression model
Orthogonal test
