Enhancing Luciferase Activity and Stability through Generative Modeling of Natural Enzyme Sequences.

ABSTRACT: The availability of natural protein sequences synergized with generative artificial intelligence (AI) provides new paradigms to create enzymes. Although active enzyme variants with numerous mutations have been produced using generative models, their performance often falls short compared to their wild-type counterparts. Additionally, in practical applications, choosing fewer mutations that can rival the efficacy of extensive sequence alterations is usually more advantageous. Pinpointing beneficial single mutations continues to be a formidable task. In this study, using the generative maximum entropy model to analyze Renilla luciferase homologs, and in conjunction with biochemistry experiments, we demonstrated that natural evolutionary information could be used to predictively improv

SUBMITTER: Xie WJ 

PROVIDER: S-EPMC10541610 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature