The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
PEGylated polymers for medicine: from conjugation to self-assembled systems
Open accessAbstract
Synthetic polymers have transformed society in many areas of science and technology, including recent breakthroughs in medicine. Synthetic polymers now offer unique and versatile platforms for drug delivery, as they can be "bio-tailored" for applications as implants, medical devices, and injectable polymer-drug conjugates. However, while several currently used therapeutic proteins and small molecule drugs have benefited from synthetic polymers, the full potential of polymer-based drug delivery platforms has not yet been realized. This review examines both general advantages and specific cases of synthetic polymers in drug delivery, focusing on PEGylation in the context of polymer architecture, self-assembly, and conjugation techniques that show considerable effectiveness and/or potential in therapeutics.
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Cites
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Cited by
Photosensitizers with Aggregation‐Induced Emission: Materials and Biomedical Applications
Hu, F., Xu, S., & Liu, B. (2018) · Advanced Materials · doi:10.1002/adma.201801350 · Cited by 859
Polymeric Conjugates for Drug Delivery
Larson, N., & Ghandehari, H. (2012) · Chemistry of Materials · doi:10.1021/cm2031569 · Cited by 580
Lee, S.-Y., Tyler, J. Y., Kim, S., Park, K., & Cheng, J.-X. (2013) · Molecular Pharmaceutics · doi:10.1021/mp4003333 · Cited by 59
Metadata
- Authors
- Joralemon, M. J., McRae, S., & Emrick, T.
- Venue
- Chemical Communications
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2010
- Volume
- 46
- Issue
- 9
- Pages
- 1377
- ISSN
- 1359-7345 (ISSN-L)
- 1364-548X
- OpenAlex
- W2120738018
- Cited by
- 251
- References
- 15
- FWCI
- 12.45
- Type
- journal article
- Language
- en
- Open access
- green
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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.
