B-cell epitope sequences from Zika virus (ZIKV) NS1 protein have been identified using epitope prediction tools. Mapping these sequences onto the NS1 surface reveals two major conformational epitopes and a single linear one. Despite an overall average sequence identity of ca. 55% between the NS1 from ZIKV and the four dengue virus (DENV) serotypes, epitope sequences were found to be highly conserved. Nevertheless, nonconserved epitope-flanking residues are responsible for a dramatically divergent electrostatic surface potential on the epitope regions of ZIKV and DENV2 serotypes. These findings suggest that strategies for differential diagnostics on the basis of short linear NS1 sequences are likely to fail due to immunological cross-reactions. Overall, results provide the molecular basis of differential discrimination between Zika and DENVs by NS1 monoclonal antibodies.

The emergence of a new human coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has imposed great pressure on the health system worldwide. The presence of glycoproteins on the viral envelope opens a wide range of possibilities for the application of lectins to address some urgent problems involved in this pandemic. In this work, we discuss the potential contributions of lectins from nonmammalian sources in the development of several fields associated with viral infections, most notably COVID-19. We review the literature on the use of nonmammalian lectins as a therapeutic approach against members of the Coronaviridae family, including recent advances in strategies of protein engineering to improve their efficacy. The applications of lectins as adjuvants for antiviral vaccines are also discussed. Finally, we present some emerging strategies employing lectins for the development of biosensors, microarrays, immunoassays and tools for purification of viruses from whole blood. Altogether, the data compiled in this review highlight the importance of structural studies aiming to improve our knowledge about the basis of glycan recognition by lectins and its repercussions in several fields, providing potential solutions for complex aspects that are emerging from different health challenges.

The Staphylococcus aureus cell surface contains cell wall-anchored proteins such as fibronectin-binding protein A (FnBPA) that bind to host ligands (e.g. fibronectin; Fn) present in the extracellular matrix of tissue or coatings on cardiac implants. Recent clinical studies have found a correlation between cardiovascular infections caused by S. aureus and nonsynonymous SNPs in FnBPA. Atomic force microscopy (AFM), surface plasmon resonance (SPR), and molecular simulations were used to investigate interactions between Fn and each of eight 20-mer peptide variants containing amino acids Ala, Asn, Gln, His, Ile, and Lys at positions equivalent to 782 and/or 786 in Fn-binding repeat-9 of FnBPA. Experimentally measured bond lifetimes (1/k_off) and dissociation constants (K_d = k_off/k_on), determined by mechanically dissociating the Fn·peptide complex at loading rates relevant to the cardiovascular system, varied from the lowest-affinity H782A/K786A peptide (0.011 s, 747 μm) to the highest-affinity H782Q/K786N peptide (0.192 s, 15.7 μm). These atomic force microscopy results tracked remarkably well to metadynamics simulations in which peptide detachment was defined solely by the free-energy landscape. Simulations and SPR experiments suggested that an Fn conformational change may enhance the stability of the binding complex for peptides with K786I or H782Q/K786I (K_d^app = 0.2–0.5 μm, as determined by SPR) compared with the lowest-affinity double-alanine peptide (K_d^app = 3.8 μm). Together, these findings demonstrate that amino acid substitutions in Fn-binding repeat-9 can significantly affect bond strength and influence the conformation of Fn upon binding. They provide a mechanistic explanation for the observation of nonsynonymous SNPs in fnbA among clinical isolates of S. aureus that cause endovascular infections.

Epitope exposure strategies often fail due to high conformational instability, resulting in loss of native conformation and fast degradation. Protein scaffolding, where a structural element of an antigen protein is transplanted into a scaffold acceptor protein, has been employed as an alternative solution. However, while this approach aims to preserve the epitope structure, it frequently results in unstable chimeric scaffolds. To overcome this issue, we employed a novel computational approach to rationally engineer conformational antigens into a highly stable scaffold protein. This strategy is showcased to display conformational HIV-1 gp41-based epitopes in their native structure. From HIV-1 antigen sequence databases, we have identified short sequences with the most probable antibody-recognizable regions. These sequences were inserted into or replaced regions of the original Top7 protein with analogous secondary structure assignment. Molecular dynamics simulations were used to characterize the protein stability and structural dynamic of the chimeric proteins, leading to a selection of promising candidates whose immunogenic epitopes are suitably exposed for antibody recognition. These computer-designed recombinant proteins were produced in bacteria using codon optimized DNA sequences and their diagnostic performance was assessed by liquid microarray against a human cohort of 47 sera samples. Our results show that the Top7 protein is a suitable scaffold to provide the required structural stability to predetermined target shapes and sequences, allowing the potential use of the chimeric proteins as antigens for specific antibody recognition and/or stimulation of immune response.