LA PREDICCIÓN IN SILICO DETERMINA LA PRESENCIA DE EPÍTOPOS INMUNOGÉNICOS ALTAMENTE ESPECÍFICOS EN FRAGMENTOS DE LA PROTEÍNA DE LA MEMBRANA POLIMÓRFICA (PMP17G) DE Chlamydia abortus
Fernando De Jesús Aldama, Roberto Montes de Oca Jiménez, Beatriz Arellano Reynoso
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引用次数: 0
Abstract
Background. Ovine Enzootic Abortion is a contagious infectious disease caused by a Gram negative and obligate intracellular bacterium, Chlamydia abortus. For field diagnosis, commercial serological tests are used; however, some of these tests show low sensitivity and specificity rates, due to the cross-reactions that the antigens used have against other pathogens. For the most accurate diagnosis, it is necessary to develop tests with more specific antigens such as polymorphic membrane proteins (Pmp's), that allow to determine the presence of specific epitopes using new technologies. Objective. To determine in silico the presence of epitopes with specific immunogenic potential against Chlamydia abortus of two fragments of the PMP17G protein. Methodology. The cloning and sequencing of the fragments was carried out from a field isolate of Chlamydia abortus, and from the analysis of these sequences, with the help of two bioinformatics software’s. Results. Several epitopes from Chlamydia abortus were found, rPOMP90-3 (eight epitopes) and rPOMP90-4 (one epitope). Implications. Bioinformatics analysis indicated that both fragments of the protein have the capacity to activate the immune system, which would be useful for the development of diagnostic kits and immunogens. Conclusions. The in silico analysis allowed to efficiently predict and identify specific epitopes against Chlamydia abortus in both fragments of the protein.
期刊介绍:
The journal is an international peer-reviewed publication devoted to disseminate original information contributing to the understanding and development of agroecosystems in tropical and subtropical areas. The Journal recognizes the multidisciplinary nature of its scope and encourages the submission of original manuscripts from all of the disciplines involved in this area. Original contributions are welcomed in relation to the study of particular components of the agroecosystems (i.e. plant, animal, soil) as well as the resulting interactions and their relationship/impact on society and environment. The journal does not received manuscripts based solely on economic acpects o food technology.