Enhanced immunogenicity of a functional enzyme by T cell epitope modification

Targeted mutagenesis of the β-strand DNA binding region of African swine fever virus histone-like protein (pA104R) impairs DNA-binding activity and antibody recognition

African Swine Fever (ASF) is a highly contagious disease caused by a double-stranded DNA virus (ASFV). Despite significant advances made over the last decade, issues such as residual virulence and absence of differentiating infected from vaccinated animals (DIVA) capacity remain an obstacle in the development of live attenuated vaccines (LAVs) against ASFV. It is, therefore, necessary to identify novel strategies to improve vaccine safety, by rational mutagenesis of virulence associated genes and generation of DIVA markers. ASFV encodes a HU (histone-like protein from E. coli strain U93) homolog protein, pA104R, which is involved in viral genome assembly and host immune recognition. A phylogenetic analysis revealed that pA104R is highly conserved among ASFV isolates, suggesting that it can be a good target for vaccine design. Thus, we selectively mutated the β-strand DNA binding region (BDR) of pA104R to attenuate its enzymatic activity, and identified and mutated several B-cell epitopes present in pA104R to generate a negative marker. Residues K64, K66, and R69 in the BDR were identified as relevant for pA104R activity, with double mutation of the first two showing additive attenuation. pA104R-reactive IgM and IgG epitopes were also identified in the bottom of the BDR, with selective mutagenesis drastically reducing antibody recognition and, when combined with mutations in the arm of the BDR, leading to a further reduction of DNA-binding activity. Interestingly, the immunodominant pA104R-reactive IgG epitope was mainly recognized by IgG1 suggesting that pA104R induces a dominant Th2 response. In sum, the rational mutagenesis can reduce pA104R-DNA binding activity and immune reactivity, providing a rationale for the development of an ASFV pA104R-based DIVA vaccine.

Prediction of Promiscuous and High-Affinity Mutated MHC Binders

The identification of peptides in an antigenic sequence that can bind with high affinity to a wide range of MHC alleles is one of the challenges in subunit vaccine design. The mutation of natural peptides is an alternative to obtaining peptides that can bind to a wide range of MHC alleles with high affinity. A large number of experiments are typically necessary to identify mutations that define high-affinity binding peptides. Therefore there is a need to develop a computational method for detecting amino acid mutations in a peptide for making it high-affinity or promiscuous MHC binders. This report describes a high-throughput computer driven solution for the identification of promiscuous and high-affinity mutated binders of 47 MHC class I alleles by introducing mutations in an antigenic sequence. The method implements quantitative matrices for creating optimal mutations in an antigenic sequence. It has two major options: (i) prediction of promiscuous MHC binders and (ii) prediction of high-affinity binders. In case of prediction of promiscuous binders, the server allows a user to select (i) permissible mutations in a peptide; (ii) MHC alleles to whom it should bind; and (iii) positions at which mutation is allowed. In the case of prediction of high-affinity binders, the server allows users to specify the positions that should be conserved in the native protein. In both cases, the method computes the type of mutations and position of mutations in 9-mer peptides required to have the desired results. The web server MMBPred is available at www.imtech.res.in/raghava/mmbpred/.