Bioinformatics of excretory/secretory proteins of Toxoplasma gondii strain ME49
Autor: | Zhenrong Ma, Xiang Wu, Bin Lu, Alaa Majeed Mutashar Alhameed, Atipatsa C. Kaminga, Jie Zhang, Xuanwu Li |
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Rok vydání: | 2019 |
Předmět: |
0301 basic medicine
Genetics chemistry.chemical_classification Antigenicity Microarray Intracellular parasite 030106 microbiology Protein domain Protozoan Proteins RNA Toxoplasma gondii Computational Biology Biology biology.organism_classification Microbiology 03 medical and health sciences 030104 developmental biology Infectious Diseases Enzyme Antigen chemistry parasitic diseases Humans Toxoplasma Toxoplasmosis |
Zdroj: | Microbial pathogenesis. 140 |
ISSN: | 1096-1208 |
Popis: | Toxoplasma gondii is an obligate intracellular parasite that is globally distributed and can infect almost all warm-blooded animals, including humans. While vaccines are not available for prophylaxis, there are limited therapeutic options which often do not result in eradication of parasites from patients. ME49 is a cystogenic strain of T. gondii with a potential as a vaccine candidate. Excretory and secretory (ES) proteins are thought to play crucial roles in host-parasite interactions. Hence, we predicted and functionally annotated the ES proteins in T. gondii ME49 using public databases. ES proteins were further examined for the characteristics and possible functions through gene ontology (GO) term enrichment and analyses of metabolic pathways, enzyme code distribution (EC distributing) and protein domains. The potential antigenicity of T. gondii ME49 ES proteins was evaluated for the first time using Abundance of Antigenic Regions (AAR) value to predict the antigenic potential by measuring sequence length and number of antigenic regions. The results showed that the ES proteins have different AAR values at RNA and microarray level. Our studies provide valuable information for future experimental studies, including the identification of novel ES proteins of therapeutic, diagnostic and immunoprophylactic interests. |
Databáze: | OpenAIRE |
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