Doll, Tais A. P. F. and Neef, Tobias and Duong, Nha and Lanar, David E. and Ringler, Philippe and Müller, Shirley A. and Burkhard, Peter. (2015) Optimizing the design of protein nanoparticles as carriers for vaccine applications. Nanomedicine: Nanotechnology, Biology and Medicine, 11 (7). pp. 1705-1713.
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Official URL: https://edoc.unibas.ch/93828/
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Abstract
Successful vaccine development remains a huge challenge for infectious diseases such as malaria, HIV and influenza. As a novel way to present antigenic epitopes to the immune system, we have developed icosahedral self-assembling protein nanoparticles (SAPNs) to serve as a prototypical vaccine platform for infectious diseases. Here we examine some biophysical factors that affect the self-assembly of these nanoparticles, which have as basic building blocks coiled-coil oligomerization domains joined by a short linker region. Relying on in silico computer modeling predictions, we selected five different linker regions from the RCSB protein database that connect oligomerization domains, and then further studied the self-assembly and stability of in vitro produced nanoparticles through biophysical characterization of formed particles. One design in particular, T2i88, revealed excellent self-assembly and homogeneity thus paving the way toward a more optimized nanoparticle for vaccine applications.; Despite the widespread use of vaccines worldwide, successful development of vaccines against some diseases remains a challenge still. In this article, the authors investigated the physic-chemical and biological properties of icosahedral self-assembling protein nanoparticles (SAPNs), which mimic viral particles, in order to utilize this technology as potential platform for future design of vaccines.
Faculties and Departments: | 05 Faculty of Science > Departement Biozentrum > Former Organization Units Biozentrum > Structural Biology (Engel) |
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UniBasel Contributors: | Ringler, Philippe |
Item Type: | Article, refereed |
Article Subtype: | Research Article |
Publisher: | Elsevier |
ISSN: | 1549-9634 |
e-ISSN: | 1549-9642 |
Note: | Publication type according to Uni Basel Research Database: Journal article |
Identification Number: |
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Last Modified: | 07 Mar 2023 11:02 |
Deposited On: | 07 Mar 2023 11:02 |
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