Document Type : Original Articles
Authors
1
Medical Microbiology Research Center, Qazvin University of Medical Sciences, Qazvin. Iran.
2
Medical Microbiology Research Center, Qazvin University of Medical Sciences, Qazvin, Iran
3
Department of Basic Medical Sciences, Faculty of Medicine, Abadan University of Medical Sciences, Abadan, Iran
4
Department of Parasitology and Entomology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
5
Department of Parasitology and Mycology, School of Medicine, Iranshahr University of Medical Sciences, Iranshahr, Iran
6
Facultad de Ciencias, Universidad Nacional Autónoma de México, Av. Universidad 3000, Copilco, Coyoacán 04510, Ciudad de México, México
10.22092/ari.2024.366880.3301
Abstract
Toxoplasma gondii (T. gondii), an intracellular parasite, utilizes a variety of rhoptry proteins (ROPs) to facilitate invasion and interactions with host cells. Among these ROPs, Rhoptry Protein 13 (ROP13) stands out for its expression in both bradyzoite and tachyzoite forms of T. gondii and its ability to engage with various host cytoplasmic compartments. In this bioinformatics study, we employed a range of tools to predict the fundamental characteristics of the ROP13 protein.Our analysis revealed that the ROP13 protein consists of 400 amino acid residues with an average molecular weight (MW) of 44,714.15 Daltons. The grand average of hydropathicity (GRAVY) was determined to be -0.311, indicating the protein's hydrophilic nature, while the aliphatic index scored 84.40, highlighting its hydrophobic properties. Furthermore, we identified 43 post-translationally modified sites within the ROP13 sequence.When examining the secondary structure, the ROP13 protein was predicted to have a composition of 40% alpha-helix, 9.25% extended strand, and 50.75% random coil using the GOR4 method, suggesting a diverse structural organization that may contribute to its functional versatility. Additionally, our analysis identified several potential B- and T-cell epitopes within the ROP13 sequence, indicating regions that could be targeted for immune responses.
Overall, the bioinformatics analysis of ROP13 provides valuable insights into its structural, immunogenic, and antigenic properties, highlighting its potential as a target for vaccine development against toxoplasmosis. By leveraging the predicted characteristics of ROP13, researchers can explore various vaccine strategies to enhance host immunity and combat T. gondii infection effectively. Continued investigation into the molecular mechanisms underlying ROP13's interactions with host cells will further elucidate its role in toxoplasmosis pathogenesis and guide the development of innovative approaches to mitigate this prevalent parasitic disease.
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