Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Meet the author: Cathleen Zeymer.

Cathleen Zeymer

    Structure (London, England : 1993)
    |January 9, 2026
    PubMed
    Summary

    Researchers engineered new metalloenzymes using modular protein scaffolds and artificial intelligence (AI) for sequence optimization. This work advances de novo enzyme design and protein engineering.

    Related Experiment Videos

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    Chemical Proteomics Reveal the Inventory of Pyrroloquinoline Quinone Binding Proteins in Bacteria.

    Journal of the American Chemical Society·2026
    Same author

    Computational redesign and directed evolution of a lanthanide-dependent photoredox enzyme for enantioselective diol cleavage.

    Chemical science·2026
    Same author

    A Luminescence-Based Screening Platform for Lanthanide-Binding Peptides and Proteins.

    ACS chemical biology·2025
    Same author

    Modular protein scaffold architecture and AI-guided sequence optimization facilitate de novo metalloenzyme engineering.

    Structure (London, England : 1993)·2025
    Same author

    Cathleen Zeymer.

    Angewandte Chemie (International ed. in English)·2025
    Same author

    The Natural Redox Cofactor Pyrroloquinoline Quinone (PQQ) Enables Photocatalytic Radical Cyclizations.

    Angewandte Chemie (International ed. in English)·2025

    Area of Science:

    • Biochemistry
    • Protein Engineering
    • Synthetic Biology

    Background:

    • Metalloenzymes are crucial biological catalysts with diverse applications.
    • Engineering novel metalloenzymes with desired functions remains challenging.
    • De novo enzyme design requires sophisticated strategies for scaffold selection and sequence optimization.