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

• Autor: Elugo Guevara, Christian
• Formato: tesis de maestría
• Fecha de Publicación: 2021
• Institución: Universidad Peruana Cayetano Heredia
• Repositorio: UPCH-Institucional
• Lenguaje: español
• OAI Identifier: oai:repositorio.upch.edu.pe:20.500.12866/9070
• Enlace del recurso: https://hdl.handle.net/20.500.12866/9070
• Nivel de acceso: acceso abierto
• Materia: 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

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.