Análisis predictivo de potenciales epítopes protectores de Salmonella infantis a través de herramientas inmuno-bioinformáticas

In recent years, our country has been reporting the presence and increase of multidrug resistant strains of Salmonella enterica subspecies enterica serotype Infantis (Salmonella Infantis) in chickens. This serotype is reported within the three most important serovars after Enteritidis and Typhimuriu...

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Bibliographic Details
Author: Elugo Guevara, Christian
Format: master thesis
Publication Date:2021
Country:Perú
Institution:Universidad Peruana Cayetano Heredia
Repository:UPCH-Institucional
Language:Spanish
OAI Identifier:oai:repositorio.upch.edu.pe:20.500.12866/9070
Online Access:https://hdl.handle.net/20.500.12866/9070
Access Level:Open access
Keyword:Inmunoinformática
Salmonella Infantis
Epítopes
Péptido-CMH
Redes Neuronales Artificiales
https://purl.org/pe-repo/ocde/ford#1.02.03
https://purl.org/pe-repo/ocde/ford#3.01.03
https://purl.org/pe-repo/ocde/ford#3.03.05
https://purl.org/pe-repo/ocde/ford#3.03.08
Description
Summary:In recent years, our country has been reporting the presence and increase of multidrug resistant strains of Salmonella enterica subspecies enterica serotype Infantis (Salmonella Infantis) in chickens. This serotype is reported within the three most important serovars after Enteritidis and Typhimurium in the country's poultry industry. Concerning public health, resistance to antibiotics currently represents a considerable threat due to their inappropriate use. For this reason, this research proposed a new approach through the discipline of Immunoinformatics for the identification of potential epitopes that can be used in the design of a vaccine as an alternative to the use of antimicrobials. Thus, information on all the proteins of a Peruvian strain of the Infantis serotype was obtained through databases and bioinformatic tools. The sequences of these proteins were submitted to artificial neural networks to determine the best and potential epitopes that can possibly be recognized by the chicken immune system through three filters. The results show that neural networks are capable of predicting potential epitopes of proteins involved in bacterial pathogenesis processes such as membrane proteins, enzymes and flagellar proteins.