The present invention relates to the technical field of
enzyme engineering. Disclosed are an
artificial intelligence-based
enzyme engineering method and
system, a device, and a medium. The method comprises: on the basis of structural information of an engineered
enzyme to be modified, using an inverse
protein folding model to obtain a plurality of structurally compatible
protein sequences on the basis of a given
scaffold structure; on the basis of the plurality of structurally compatible
protein sequences, obtaining a
mutant amino acid frequency and a wild-type
amino acid frequency at each sequence position; and on the basis of the
mutant amino acid frequency and the wild-type amino acid frequency at each sequence position and the structural information of said engineered enzyme, as well as a first creation strategy, a second creation strategy, and a third creation strategy, obtaining a single-
mutation variant set and a combinatorial-
mutation variant set of said engineered enzyme. The present invention enables efficient and low-cost generation of single-
mutation and combinatorial-mutation variant sets of an engineered enzyme to be modified, thereby achieving precise and efficient
gene editing and effectively expanding the applicability and safety of
gene editing.