Stable and Functionally Diverse Versatile Peroxidases Designed Directly from Sequences

White-rot fungi secrete a repertoire of high-redox potential oxidoreductases to efficiently decompose lignin. Of these enzymes, versatile peroxidases (VPs) are the most promiscuous biocatalysts. VPs are attractive enzymes for research and industrial use but their recombinant production is extremely challenging. To date, only a single VP has been structurally characterized and optimized for recombinant functional expression, stability, and activity. Computational enzyme optimization methods can be applied to many enzymes in parallel but they require accurate structures. Here, we demonstrate that model structures computed by deep-learning-based ab initio structure prediction methods are reliable starting points for one-shot PROSS stability-design calculations. Four designed VPs encoding as many as 43 mutations relative to the wildtype enzymes are functionally expressed in yeast, whereas their wildtype parents are not. Three of these designs exhibit substantial and useful diversity in their reactivity profiles and tolerance to environmental conditions. The reliability of the new generation of structure predictors and design methods increases the scale and scope of computational enzyme optimization, enabling efficient discovery and exploitation of the functional diversity in natural enzyme families directly from genomic databases.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:144

Enthalten in:

Journal of the American Chemical Society - 144(2022), 8 vom: 02. März, Seite 3564-3571

Sprache:

Englisch

Beteiligte Personen:

Barber-Zucker, Shiran [VerfasserIn]
Mindel, Vladimir [VerfasserIn]
Garcia-Ruiz, Eva [VerfasserIn]
Weinstein, Jonathan J [VerfasserIn]
Alcalde, Miguel [VerfasserIn]
Fleishman, Sarel J [VerfasserIn]

Links:

Volltext

Themen:

9005-53-2
EC 1.11.1.-
Journal Article
Lignin
Peroxidases
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 18.04.2022

Date Revised 31.05.2022

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1021/jacs.1c12433

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM33711739X