The self-assembling protein nanoparticle (SAPN) is an antigen-presenting system that has been shown to be suitable for use as a vaccine platform. The SAPN scaffold is based on the principles of icosahedral symmetry, beginning from a monomeric chain that self-assembles into an ordered oligomeric state. The monomeric chain contains two covalently linked a-helical coiled-coil domains, an N-terminal de novo-designed pentameric tryptophan zipper and a C-terminal de novo-designed trimeric leucine zipper, which assemble along the internal symmetry axes of an icosahedron. In this study, we incorporated the membrane proximal external region (MPER) of HIV-1 gp41 from HXB2 into the N-terminal pentamer, referred to as MPER-SAPN, attempting to reproduce the a-helical state of the 4E10 epitope while maintaining a structurally less-constrained 2F5 epitope. Sprague-Dawley rats were immunized with MPERSAPNs, and their sera were analyzed for induced humoral anti-HIV-1 responses. We show that high membrane proximal external region-specific titers can be raised via the repetitive antigen display of MPER on the SAPN without the need for adjuvant. However, none of the sera displayed a detectable neutralizing activity against HIV-1. Thus, 4E10-and 2F5-like neutralizing antibodies could not be elicited by MPER conformationally restrained in the SAPN context.

Non-native protein aggregation is a key degradation pathway of immunoglobulins. In this work, the aggregation kinetics of an immunoglobulin gamma-1 monoclonal antibody (IgG1 mAb) in different solution environments was monitored over a range of incubation temperatures for up to seven months using size exclusion chromatography. Histidine and citrate buffers with/without sodium chloride were employed to modulate the mAb's conformational stability, solubility (in the presence of polyethylene glycol, PEG), and protein-protein interactions as measured by differential scanning calorimetry, PEG precipitation, and static light scattering, respectively. The effect of these parameters on the mechanism(s) of mAb aggregation during storage at different temperatures was determined using kinetic models, which were used to fit aggregation data to determine rate constants for aggregate nucleation and growth processes. This approach was used to investigate the effects of colloidal protein-protein interactions and solubility values (in PEG solutions) on the mechanisms and rates of IgG1 mAb aggregation as a function of temperature-induced structural perturbations. Aggregate nucleation and growth pathways for this IgG1 mAb were sensitive to temperature and overall conformational stability. Aggregate growth, on the other hand, was also sensitive to conditions affecting the solubility of the mAb, particularly at elevated temperatures.

Self-assembly refers to the spontaneous organization of individual building blocks into higher order structures. It occurs in biological systems such as spherical viruses, which utilize icosahedral symmetry as a guiding principle for the assembly of coat proteins into a capsid shell. In this study, we characterize the self-assembling protein nanoparticle (SAPN) system, which was inspired by such viruses. To facilitate self-assembly, monomeric building blocks have been designed to contain two oligomerization domains. An N-terminal pentameric coiled-coil domain is linked to a C-terminal coiled-coil trimer by two glycine residues. By combining monomers with inherent propensity to form five- and threefold symmetries in higher order agglomerates, the supposition is that nanoparticles will form that exhibit local and global symmetry axes of order 3 and 5. This article explores the principles that govern the assembly of such a system. Specifically, we show that the system predominantly forms according to a spherical core-shell morphology using a combination of scanning transmission electron microscopy and small angle neutron scattering. We introduce a mathematical toolkit to provide a specific description of the possible SAPN morphologies, and we apply it to characterize all particles with maximal symmetry. In particular, we present schematics that define the relative positions of all individual chains in the symmetric SAPN particles, and provide a guide of how this approach can be generalized to nonspherical morphologies, hence providing unprecedented insights into their geometries that can be exploited in future applications.

Summary The development of new vaccines and antibody therapeutics typically takes several years and requires over $1bn in investment. Accurate knowledge of the paratope (antibody binding site) can speed up and reduce the cost of this process by improving our understanding of antibody-antigen binding. We present Paragraph, a structure-based paratope prediction tool that outperforms current state-of-the-art tools using simpler feature vectors and no antigen information. Availability Source code is freely available at www.github.com/oxpig/Paragraph Supplementary information Supplementary data are available at Bioinformatics online.

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