Identification of Novel Potential Vaccine Candidates against Tuberculosis Based on Reverse Vaccinology

Figure 1

General workflow of the research. Reverse vaccinology was applied to the M. tuberculosis proteome to select novel vaccine candidates. The process starts with NERVE software selecting 331 vaccine candidates from 3989 proteins. These candidates were analyzed with different bioinformatics tools and bibliographic information selecting proteins representatives with the best values related with protective response. At the end of the study we chose six vaccine antigens (see details under Methods).