The DOI matches its Crossref record; 269 of the 269 references it cites were found in a registry or an index.
Self-assembled peptide and protein nanostructures for anti-cancer therapy: Targeted delivery, stimuli-responsive devices and immunotherapy
Open accessAbstract
Self-assembled peptides and proteins possess tremendous potential as targeted drug delivery systems and key applications of these well-defined nanostructures reside in anti-cancer therapy. Peptides and proteins can self-assemble into nanostructures of diverse sizes and shapes in response to changing environmental conditions such as pH, temperature, ionic strength, as well as host and guest molecular interactions; their countless benefits include good biocompatibility and high loading capacity for hydrophobic and hydrophilic drugs. These self-assembled nanomaterials can be adorned with functional moieties to specifically target tumor cells. Stimuli-responsive features can also be incorporated with respect to the tumor microenvironment. This review sheds light on the growing interest in self-assembled peptides and proteins and their burgeoning applications in cancer treatment and immunotherapy.
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Cited by
ZIF‐8 Nanoparticles Evoke Pyroptosis for High‐Efficiency Cancer Immunotherapy
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Self-citation
Metadata
- Authors
- Delfi, M., Sartorius, R., Ashrafizadeh, M., Sharifi, E., Zhang, Y., De Berardinis, P., Zarrabi, A., Varma, R. S., Tay, F. R., Smith, B. R., & Makvandi, P.
- Venue
- Nano Today
- Publisher
- Elsevier BV
- Published
- 2021-06
- Volume
- 38
- Pages
- 101119
- ISSN
- 1748-0132 (ISSN-L)
- OpenAlex
- W3136827720
- Cited by
- 253
- References
- 269
- FWCI
- 10.34
- Type
- journal article
- Language
- en
- Open access
- green
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- Delfi, M., Sartorius, R., Ashrafizadeh, M., Sharifi, E., Zhang, Y., De Berardinis, P., Zarrabi, A., Varma, R. S., Tay, F. R., Smith, B. R., & Makvandi, P. (2021). Self-assembled peptide and protein nanostructures for anti-cancer therapy: Targeted delivery, stimuli-responsive devices and immunotherapy. Nano Today. https://doi.org/10.1016/j.nantod.2021.101119
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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