Inspection of Remodeling Impacts of Domain Movements in Hydrosoluble Protein Using Dual Artificial Intelligence Methods
Remodeling impacts of domain movements in protease are of interest in many fields such as medical treatments, food processing, and bio-electronic devices. However, they are yet to be precisely explained. In this study, the remodeling effects in ficin were investigated via a deep neural network, genetic programming, and computer simulations. The replacement (Y113F) in ficin using domain movements exhibited a critical effect on the peptide compatibilities. Specifically, modification of amino acid allows the remodeling of the domain movements, and types of compatible peptides should be modulated by the remodeling. Moreover, the decision tree revealed important factors in peptides and ficin.
