Abstract

SERRANO BARRERA, Orlando R. Immunogenicity of recombinant proteins compared with the use of bioinformatics tools. Rev Cubana Invest Bioméd [online]. 2013, vol.32, n.3, pp. 293-301. ISSN 0864-0300.

Objective: determine the usefulness of immunoinformatics tools to detect potentially immunodominant peptides, and evaluate the differences between the immune responses provided by the animal models used in preclinical and human studies. Methods: modeling was conducted of the response to two exogenous proteins: recombinant streptokinase and hepatitis B surface antigen. Based on their primary sequences, algorithms were used to identify B and T epitopes against HLA class I and II molecules (HLA-A*0201, HLA-DRB1*0301 and HLA-DRB1*0701), and murine haplotypes H2-Kd and H2-Kk. The highest scoring peptides were chosen. Results: ABCPred algorithm showed a better prediction capacity for B epitopes, whereas coincidence was greater in modeling programs for the T response. The epitopes generated for haplotype H2-Kk had greater similitude with those presented by the HLA molecules selected. Conclusions: a methodology is presented which is applicable to the development of subunit and multiepitope vaccines, as well as other peptidic biotechnological drugs. This methodology allows optimization of the preclinical and clinical phases at a very low cost, with minimal technological requirements, optimal use of media, and resources and human capital available at any institution of the national health system.

Keywords : bioinformatics; immunoinformatics; computational modeling; computational biology; preclinical assays; immunopharmacology.

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