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Indelicato G, Burkhard P, Twarock R. Classification of self-assembling protein nanoparticle architectures for applications in vaccine design. R Soc Open Sci. 2017;4(4):161092doi: 10.1098/rsos.161092.
Indelicato, G., Burkhard, P., & Twarock, R. (2017). Classification of self-assembling protein nanoparticle architectures for applications in vaccine design. Royal Society open science, 4(4), 161092. https://doi.org/10.1098/rsos.161092
Indelicato, G, et al. "Classification of self-assembling protein nanoparticle architectures for applications in vaccine design." Royal Society open science vol. 4,4 (2017): 161092. doi: https://doi.org/10.1098/rsos.161092
Indelicato G, Burkhard P, Twarock R. Classification of self-assembling protein nanoparticle architectures for applications in vaccine design. R Soc Open Sci. 2017 Apr 26;4(4):161092. doi: 10.1098/rsos.161092. eCollection 2017 Apr. PMID: 28484626; PMCID: PMC5414263.
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R Soc Open Sci. 2017 Apr 26;4(4):161092. doi: 10.1098/rsos.161092. eCollection 2017 Apr.

Classification of self-assembling protein nanoparticle architectures for applications in vaccine design.

Royal Society open science

G Indelicato, P Burkhard, R Twarock

Affiliations

  1. Dipartimento di Matematica, Università di Torino, Via Carlo Alberto 10, 10123 Torino, Italy.
  2. The Institute of Materials Science, University of Connecticut, 97 North Eagleville Road, Storrs, CT 06269, USA.
  3. Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, 06269-3125, USA.
  4. Departments of Mathematics and Biology, University of York, York YO10 5DD, UK.
  5. York Centre for Complex Systems Analysis, University of York, York YO10 5GE, UK.

PMID: 28484626 PMCID: PMC5414263 DOI: 10.1098/rsos.161092

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.

Keywords: antigen display; fullerene; graph theory; nanoparticle; symmetry

Conflict of interest statement

P.B. is CEO of the company Alpha-O Peptides and has patents or patents pending on the technology. Alpha-O Peptides did not fund any of this research. The paper is a mathematical paper that refers to s

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