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Cited by 185

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Click Chemistry: A Powerful Tool to Create Polymer‐Based Macromolecular Chimeras

Open access
Le Droumaguet, Benjamin, Velonia, Kelly·2008·Macromolecular Rapid Communications

Abstract

The combination of polymeric with biological materials, to create biohybrid macromolecules that merge the properties of both the natural and synthetic components, is a flourishing area in both life sciences and biotechnology. The click chemistry philosophy has recently provided a powerful tool in this direction, leading to a plethora of novel, tailor‐made biomacromolecules with unprecedented structural characteristics and properties. The different synthetic strategies, using the alkyne–azide click cycloadditions to bioorthogonally achieve the coupling of synthetic polymers with nucleic acids, peptides, sugars, proteins or even viruses and cells is described. The review covers the latest developments in this very dynamic and rapidly expanding field. magnified image

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Crossref · 10.1002/marc.200800155

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Metadata

Authors
Le Droumaguet, B., & Velonia, K.
Venue
Macromolecular Rapid Communications
Publisher
Wiley
Published
2008-07
Volume
29
Issue
12-13
Pages
1073-1089
ISSN
  • 1022-1336 (ISSN-L)
  • 1521-3927
OpenAlex
W2030528877
Cited by
185
References
7
FWCI
12.55
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Click Chemistry: A Powerful Tool to Create Polymer‐Based Macromolecular Chimeras. https://app.cochat.ai/papers/10.1002/marc.200800155
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Le Droumaguet, B., & Velonia, K. (2008). Click Chemistry: A Powerful Tool to Create Polymer‐Based Macromolecular Chimeras. Macromolecular Rapid Communications. https://doi.org/10.1002/marc.200800155

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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.