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Master's Dissertation
DOI
10.11606/D.17.2010.tde-26052011-113627
Document
Author
Full name
André Luis da Silva Breve
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
Ribeirão Preto, 2010
Supervisor
Committee
Giuliatti, Silvana (President)
Passos Junior, Geraldo Aleixo da Silva
Tinós, Renato
Title in Portuguese
Predição In Silico de Epítopos de Microrganismos com Identidade a Autoantígenos Humanos
Keywords in Portuguese
Antígenos
Bioinformática
Doenças autoimunes
Epítopos
Mimetismo molecular
Abstract in Portuguese
A origem das doenças autoimunes é multifatorial, sendo que envolve condições ambientais e predisposição genética, dificultando sua identificação. Muitos pesquisadores têm estudado a associação entre agentes infecciosos e autoimunidade, a qual pode ser disparada pelo processo conhecido por mimetismo molecular. Neste caso, respostas imunes cruzadas envolvendo antígenos próprios têm sido documentadas. O presente projeto tem como objetivo a busca in silico por associações entre epítopos de microrganismos e autoantígenos humanos. Iniciaram-se as análises pela identificação de semelhanças de sequências de aminoácidos entre epítopos de microrganismos e autoantígenos humanos por meio do alinhamento local de sequências efetuado pelo programa BLASTP. As sequências de epítopos dos microrganismos e autoantígenos humanos foram previamente adquiridas nos bancos de dados Immune Epitope Database and Analysis Resource (IEDB) e no Genbank, respectivamente. Foram também realizadas modelagens de estruturas proteicas para o antígeno e o autoantígeno que obtiveram melhores valores de alinhamento, com base no valor do E-value, por meio dos programas Modeller e Rosetta. Por fim, a predição de epítopos foi executada, pelo uso dos softwares NetMHC e NetMHCII, para avaliar a possibilidade de epítopos de microrganismos e de autoantígenos humanos se associarem aos mesmos alelos de HLA. Como resultado, foram encontradas similaridades tanto de sequências proteicas quanto de afinidade a 4 tipos de alelos de HLA entre um epítopo do antígeno LSA-1 de Plasmodium falciparum e o autoantígeno de miosina, o que sugere uma associação entre eles, atingindo o objetivo deste trabalho.
Title in English
In Silico Prediction of Microorganism Motifs with Identity to Human Autoantigens
Keywords in English
Autoimmune diseases
Bioinformatics
Epitopes
Molecular mimicry
Abstract in English
The origin of autoimmune diseases is multifactorial. It involves environmental conditions and genetic predisposition that difficulties its identification. Several researchers have studied the association between infectious agents and autoimmunity, which can be initiated by a process named molecular mimicry. In this case, cross immune responses involving self antigens have been documented. This project aims to search in silico for associations between microorganisms epitopes and human autoantigens. The first step was the identification of similarities in amino acid sequences between microorganisms epitopes and human autoantigens by use of sequence local alignment performed by the program blastp. The sequences of the microorganisms epitope and the human autoantigens had been previously acquired in the Immune Epitope Database and Analysis Resource (IEDB) and Genbank, respectively. The modeling of protein structures for the antigen and autoantigen was also carried out to show the best alignment values, based on the E-value, using the programs Modeller and Rosetta. Finally, the prediction of epitopes was performed by use of NetMHC and NetMHCII softwares to evaluate the possibility of microorganisms epitopes and human autoantigens join the same HLA alleles. Similarities of protein sequences was found for both. It was possible to observe affinity of 4 HLA alleles between an epitope from LSA-1 Plasmodium falciparum antigen and the myosin, suggesting an association between them, reaching the goal of this work.
 
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Publishing Date
2011-06-06
 
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