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Cited by 165

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Precision Polymers: Monodisperse, Monomer‐Sequence‐Defined Segments to Target Future Demands of Polymers in Medicine

Hartmann, L., Börner, H. G.·2009·Advanced Materials

Abstract

The established technology platforms of solid‐phase‐supported oligopeptide and oligonucleotide synthesis can be expanded to access fully synthetic macromolecules, preserving both the monodisperse character and the defined monomer sequence. Precision polymers are sequentially assembled from a library of functional building blocks, enabling one to program interaction capabilities or generate functions by sequence‐specific positioning of functionalities. Examples are provided, showing that these monodisperse macromolecules can be conjugated to oligonucleotides, oligopeptides, or poly(ethylene glycol)s. The resulting model systems can contribute to the understanding of complex biomedical‐related processes. Due to the absence of chemical and molecular‐weight distributions in these multifunctional segments, exact correlation of the monomer sequence and (bio)properties is attainable. This is demonstrated by the design of carrier systems that exhibit fine‐tuned interactions with plasmid DNA, actively controlling important steps in DNA delivery and transfection, such as polyplex formation, DNA compression, and release of the cargo.

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Metadata

Authors
Hartmann, L., & Börner, H. G.
Venue
Advanced Materials
Publisher
Wiley
Published
2009-08-28
Volume
21
Issue
32-33
Pages
3425-3431
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W2034394233
Cited by
165
References
3
FWCI
6.54
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Precision Polymers: Monodisperse, Monomer‐Sequence‐Defined Segments to Target Future Demands of Polymers in Medicine. https://app.cochat.ai/papers/10.1002/adma.200801884
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Hartmann, L., & Börner, H. G. (2009). Precision Polymers: Monodisperse, Monomer‐Sequence‐Defined Segments to Target Future Demands of Polymers in Medicine. Advanced Materials. https://doi.org/10.1002/adma.200801884

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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.