0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessSynthetic biology enables microbial hosts to produce complex molecules that areotherwise produced by organisms that are rare or difficult to cultivate, but the structures of thesemolecules are limited to chemical reactions catalyzed by natural enzymes. The integration ofartificial metalloenzymes (ArMs) that catalyze abiotic reactions into metabolic networks couldbroaden the cache of molecules produced biosynthetically by microorgansms. We report theassembly of an ArM containing an iridium-porphyrin complex in the cytoplasm of a terpeneproducing Escherichia coli by a heterologous heme transport machinery, and insertion of this ArMinto a natural biosynthetic pathway to produce an unnatural terpenoid. This work shows thatsynthetic biology and synthetic chemistry, incorporated together in whole cells, can producemolecules previously inaccessible to nature.
Jing Huang, Zhennan Liu, Brandon J. Bloomer, Douglas S. Clark, Aindrila Mukhopadhyay, Jay D. Keasling, John F Hartwig (2020). Artificial Biosynthetic Pathway for an Unnatural Terpenoid with an Iridiumcontaining P450. , DOI: https://doi.org/10.26434/chemrxiv.11955174.v1.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Preprint
Year
2020
Authors
7
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.26434/chemrxiv.11955174.v1
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access