Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Sign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Language

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Contact

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2026 Raw Data Library. All rights reserved.
PrivacyTermsContact
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. Assembly and Evolution of Artificial Metalloenzymes within <i>E. coli</i> Nissle 1917 for Enantioselective and Site-Selective Functionalization of C─H and C═C Bonds

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
en
2022

Assembly and Evolution of Artificial Metalloenzymes within <i>E. coli</i> Nissle 1917 for Enantioselective and Site-Selective Functionalization of C─H and C═C Bonds

0 Datasets

0 Files

en
2022
Vol 144 (2)
Vol. 144
DOI: 10.1021/jacs.1c10975

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
John F Hartwig
John F Hartwig

University of California, Berkeley

Verified
Zhennan Liu
Jing Huang
Yang Gu
+4 more

Abstract

The potential applications afforded by the generation and reactivity of artificial metalloenzymes (ArMs) in microorganisms are vast. We show that a non-pathogenic E. coli strain, Nissle 1917 (EcN), is a suitable host for the creation of ArMs from cytochrome P450s and artificial heme cofactors. An outer-membrane receptor in EcN transports an iridium porphyrin into the cell, and the Ir-CYP119 (CYP119 containing iridium porphyrin) assembled in vivo catalyzes carbene insertions into benzylic C-H bonds enantioselectively and site-selectively. The application of EcN as a whole-cell screening platform eliminates the need for laborious processing procedures, drastically increases the ease and throughput of screening, and accelerates the development of Ir-CYP119 with improved catalytic properties. Studies to identify the transport machinery suggest that a transporter different from the previously assumed ChuA receptor serves to usher the iridium porphyrin into the cytoplasm.

How to cite this publication

Zhennan Liu, Jing Huang, Yang Gu, Douglas S. Clark, Aindrila Mukhopadhyay, Jay D. Keasling, John F Hartwig (2022). Assembly and Evolution of Artificial Metalloenzymes within <i>E. coli</i> Nissle 1917 for Enantioselective and Site-Selective Functionalization of C─H and C═C Bonds. , 144(2), DOI: https://doi.org/10.1021/jacs.1c10975.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Article

Year

2022

Authors

7

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1021/jacs.1c10975

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access