Page 97
Journal of Clinical Immunology and Allergy
ISSN: 2471-304X
E u r o p e a n C o n g r e s s o n
Vaccines & Vaccination
and Gynecologic Oncology
Vaccines & Vaccination and Gynecologic Oncology 2018
O c t o b e r 2 6 - 2 7 , 2 0 1 8
B u d a p e s t , H u n g a r y
S
everal problems were reported with conventional, sub-subunit, inactivated, recombinant and sub-mucosal vaccines.
Developing conventional vaccines is labour intensive, expensive and time-consuming. Identifying the most suitable antigens
to stimulate the immune system is the limitation with subunit vaccines. The inability to induce cellular immunity is the drawback
related to inactivated vaccines and recombinant vaccines. Identifying antibody response for gastric pathogen is the problem
with sub-mucosal vaccines. The problem interconnected with specificity of the vaccine is genetic diversity of the pathogen and
ethnicity of the patient’s population diversity. Therefore, identifying a suitable antigen as a vaccine candidate which can stimulate
the immune system, induce cellular immunity, sub-mucosal response against diverse pathogen and population is a challenging
task. In this connection, a novel immuno-informatics method is proposed against the above known problems by minimizing the
cost of both human and financial resources, without losing efficiency and time. The method includes retrieving the coding regions
of the genome and translating them to their respective proteome. Then, the proteome is screened for immuno-pathogenic factors
which are non-homologous, non-allergenic, and with helixes≤3. Further, epitopes which are conserved, non-homologous, elicit
both T-cell and B-cell response, interact with MHC alleles and IgA antibody, and elicit response in wide range of ethnic populations
are identified as suitable antigens. The above approach is a comprehensive immuno-informatics method that enables rapid
identification of sub mucosal vaccine candidates with immense potential for therapeutic intervention of pathogens.
nrneelapu@gmail.comA novel immunoinformatics method for screening
and identifying sub mucosal vaccine candidates
Neelapu N R R, Pasupuletti A M C, Challa S
Gandhi Institute of Technology and Management (GITAM), India
Journal of Clinical Immunology and Allergy, Volume: 4
DOI: 10.21767/2471-304X-C2-006
Euro Vaccines 2018