Indelicato, Giuliana, Burkhard, P. and Twarock, Reidun orcid.org/0000-0002-1824-2003 (2017) Classification of self-assembling protein nanoparticle architectures for applications in vaccine design. Royal Society Open Science. 161092. ISSN 2054-5703
Abstract
We introduce here a mathematical procedure for the structural classification of a specific class of self-assembling protein nanoparticles (SAPNs) that are used as a platform for repetitive antigen display systems. These SAPNs have distinctive geometries as a consequence of the fact that their peptide building blocks are formed from two linked coiled coils that are designed to assemble into trimeric and pentameric clusters. This allows a mathematical description of particle architectures in terms of bipartite (3,5)-regular graphs. Exploiting the relation with fullerene graphs, we provide a complete atlas of SAPN morphologies. The classification enables a detailed understanding of the spectrum of possible particle geometries that can arise in the self-assembly process. Moreover, it provides a toolkit for a systematic exploitation of SAPNs in bioengineering in the context of vaccine design, predicting the density of B-cell epitopes on the SAPN surface, which is critical for a strong humoral immune response.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 The Authors. |
Keywords: | graph theory ,symmetry ,nanoparticle ,fullerene,antigen display |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Mathematics (York) The University of York > Faculty of Sciences (York) > Biology (York) |
Depositing User: | Pure (York) |
Date Deposited: | 28 Apr 2017 11:00 |
Last Modified: | 16 Oct 2024 13:44 |
Published Version: | https://doi.org/10.1098/rsos.161092 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1098/rsos.161092 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:115783 |