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Cited by 319

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Living Radical Polymerization as a Tool for the Synthesis of Polymer‐Protein/Peptide Bioconjugates

Nicolas, Julien, Mantovani, Giuseppe, Haddleton, David M.·2007·Macromolecular Rapid Communications

Abstract

Combinations of synthetic and natural macromolecules offer a route to new functional materials. While biological and polymer chemistry may not be natural bedfellows, many researchers are focusing their attention on the benefits of combining these fields. Recent advances in living radical polymerization have provided methods to build tailor‐made macromolecular moieties using relatively simple processes. This has led to a plethora of block copolymers, end‐functional polymers and polymers with a whole range of biological recognition abilities. This review covers work carried out until late 2006 combining living radical polymerization with proteins and peptides in the rapidly‐expanding field of bioconjugation. magnified image

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Crossref · 10.1002/marc.200700112

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Metadata

Authors
Nicolas, J., Mantovani, G., & Haddleton, D. M.
Venue
Macromolecular Rapid Communications
Publisher
Wiley
Published
2007-05-16
Volume
28
Issue
10
Pages
1083-1111
ISSN
  • 1022-1336 (ISSN-L)
  • 1521-3927
OpenAlex
W2125981696
Cited by
319
References
9
FWCI
19.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Living Radical Polymerization as a Tool for the Synthesis of Polymer‐Protein/Peptide Bioconjugates. https://app.cochat.ai/papers/10.1002/marc.200700112
The paper
Nicolas, J., Mantovani, G., & Haddleton, D. M. (2007). Living Radical Polymerization as a Tool for the Synthesis of Polymer‐Protein/Peptide Bioconjugates. Macromolecular Rapid Communications. https://doi.org/10.1002/marc.200700112

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.