Banca de QUALIFICAÇÃO: JOÃO MARCOS PEREIRA GALÚCIO

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
DISCENTE : JOÃO MARCOS PEREIRA GALÚCIO
DATA : 27/06/2019
HORA: 09:00
LOCAL: SALA 103
TÍTULO:

Planning a multi-epitope vaccine against nipah virus infection through immunoinformatics and molecular modeling

PALAVRAS-CHAVES:

Henipavirus. Immunoinformatics. Multi-epitope vaccines. Molecular Modeling.

PÁGINAS: 50
GRANDE ÁREA: Ciências Biológicas
ÁREA: Biotecnologia
RESUMO:

Nipah (NiV) is an emerging henipavirus belonging to the family Paramyxoviridae, transmitted by specific types of frugivorous bats and associated with severe and often fatal respiratory and neurological diseases in humans. In February 2018, the World Health Organization (WHO) declared NiV as a priority pathogen for the research and development of diagnostic, prevention and treatment strategies. NiV has also been included as a priority for vaccine development by the Coalition for Innovations in Epidemic Preparedness (CEPI). Due to the lack of effective vaccines and antivirals and given the wide range of hosts and transmissibility in humans, Nipah infection therefore poses a major public health threat with potential pandemic risk. In this sense, computational tools can offer algorithmic approaches for the planning of new therapies, with a great reduction of costs and time related to traditional approaches. In this perspective, this study presents an approach of immunoinformatics and molecular modeling with the objective of designing a multi-epitope vaccine through T and B cell epitopes conserved between the Bangladesh and Malaysian strains of the nipah virus. The selected epitopes will be tested for their possible antigenic combinations, along with the AAY linker, using structural modeling and analysis of epitope-epitope interactions. An adjuvant (β-defensin) will be added to the template to increase immunogenicity. The designed vaccine will also be evaluated for its antigenicity, immunogenicity, allergenicity and physico-chemical parameters using a number of available algorithms. To increase the stability of the model, the structural inclusion of disulfide bridges in high mobility protein regions will be carried out. Adaptation to the codon and in silico cloning will also be performed to ensure greater expression of the vaccine in the E. coli K12 expression system. Finally, molecular docking and molecular dynamics simulations will be performed between the vaccine protein and human toll-like receptors, in addition to binding-free energy calculations, to explore the mode of binding and the stability of the complex. Together, these analyzes will provide computational evidence on biologically viable vaccine candidates against nipah virus, characterizing the epitopes conserved in the viral proteome and enabling the elaboration of models with optimized physico-chemical properties.

MEMBROS DA BANCA:
Externa ao Programa - 2375623 - GABRIELA BIANCHI DOS SANTOS
Interna - 1661684 - KELLY CHRISTINA FERREIRA CASTRO
Presidente - 1770373 - PAULO SERGIO TAUBE JUNIOR