Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 377

The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.

Decarboxylative alkylation for site-selective bioconjugation of native proteins via oxidation potentials

Open access
Bloom, Steven, Liu, Chun, Kölmel, Dominik K., Qiao, Jennifer X., Zhang, Yong, Poss, Michael A., Ewing, William R., MacMillan, David W. C.·2018·Nature Chemistry

Abstract

The advent of antibody–drug conjugates as pharmaceuticals has fuelled a need for reliable methods of site-selective protein modification that furnish homogeneous adducts. Although bioorthogonal methods that use engineered amino acids often provide an elegant solution to the question of selective functionalization, achieving homogeneity using native amino acids remains a challenge. Here, we explore visible-light-mediated single-electron transfer as a mechanism towards enabling site- and chemoselective bioconjugation. Specifically, we demonstrate the use of photoredox catalysis as a platform to selectivity wherein the discrepancy in oxidation potentials between internal versus C-terminal carboxylates can be exploited towards obtaining C-terminal functionalization exclusively. This oxidation potential-gated technology is amenable to endogenous peptides and has been successfully demonstrated on the protein insulin. As a fundamentally new approach to bioconjugation this methodology provides a blueprint toward the development of photoredox catalysis as a generic platform to target other redox-active side chains for native conjugation. Selectively targeting native amino acids for late-stage protein modification is a significant challenge, but now it has been shown that photoredox catalysis can be used to specifically target protein C-termini toward decarboxylative-alkylation with Michael acceptors. This technology harnesses innate differences in side-chain oxidation potentials to select between the various functional groups typical among proteins in order to form a single modified product.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/nchem.2888

Cites

36 of 36 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 36 references

Cited by

See all 377

Metadata

Authors
Bloom, S., Liu, C., Kölmel, D. K., Qiao, J. X., Zhang, Y., Poss, M. A., Ewing, W. R., & MacMillan, D. W. C.
Venue
Nature Chemistry
Published
2017-12-04
Volume
10
Issue
2
Pages
205-211
ISSN
  • 1755-4330 (ISSN-L)
  • 1755-4349
OpenAlex
W2771103519
Cited by
377
References
36
FWCI
15.04
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Decarboxylative alkylation for site-selective bioconjugation of native proteins via oxidation potentials. https://app.cochat.ai/papers/10.1038/nchem.2888
The paper
Bloom, S., Liu, C., Kölmel, D. K., Qiao, J. X., Zhang, Y., Poss, M. A., Ewing, W. R., & MacMillan, D. W. C. (2018). Decarboxylative alkylation for site-selective bioconjugation of native proteins via oxidation potentials. Nature Chemistry. https://doi.org/10.1038/nchem.2888

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.