Immunoinformatic analysis of some dense granule antigens of Toxoplasma gondii: Potential implications for vaccine development

This study utilized an extensive in silico strategy to first identify and characterize six recently studied, virulent dense granule antigens (GRAs) of T. gondii , including GRA15, GRA60, GRA76, GRA83, GRA-α, and GRA-β", and to subsequently assess their immunogenic B- and T-cell epitopes. Based on a series of bioinformatics web servers, we predicted the physicochemical, antigenic and structural properties of the proteins, as well as subcellular characteristics with an emphasis on predicted signal peptides and transmembrane domains. All GRAs were predicted to be hydrophilic, thermotolerant, antigenic and non-allergenic, with GRA-α and GRA-β also showing particularly good predicted solubility properties. Using a multi-server approach, the B-cell epitopes were assessed and screened for antigenicity and solubility. Also, major histocompatibility complex (MHC)-binding T-cell epitopes were additionally screened antigenicity/immunogenicity, allergenicity, toxicity, and IFN-γ induction. The predicted cytotoxic T-lymphocyte (CTL) epitopes were found to possess high global population coverage at 88.02 %. This study provides only a foundational epitope identification platform using computer-based method that is instrumental in reframing the future experimental design of multi-epitope vaccines for toxoplasmosis. • Dense granule antigens are among immunogenic secretory proteins of T. gondii . • Six novel GRAs were evaluated in silico using immunoinformatics tools. • Data retrieved can be used for GRA-based multi-epitope vaccines.

Authors

Institutions

Publication Details

Journal
The Microbe
Published
2025-11-20
DOI
https://doi.org/10.1016/j.microb.2025.100622
Citations
1
Primary Topic
vaccines and immunoinformatics approaches
Type
article
Field-Weighted Citation Impact
0.81
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Immunoinformatic analysis of some dense granule antigens of Toxoplasma gondii: Potential implications for vaccine development

Hamidreza Majidiani, Saman Hashemi, Mohammad Fathollahzadeh, Ali Asghari et al.
1 citations
The Microbe
vaccines and immunoinformatics approaches
0.81
article

Immunoinformatic analysis of some dense granule antigens of Toxoplasma gondii: Potential implications for vaccine development

Hamidreza Majidiani, Saman Hashemi, Mohammad Fathollahzadeh, Ali Asghari, Iman Shahraki, Davood Siamian, Mohammad Hossein Safari, Seyyed Amir Hosseini
article en
1 citations

Abstract

This study utilized an extensive in silico strategy to first identify and characterize six recently studied, virulent dense granule antigens (GRAs) of T. gondii , including GRA15, GRA60, GRA76, GRA83, GRA-α, and GRA-β", and to subsequently assess their immunogenic B- and T-cell epitopes. Based on a series of bioinformatics web servers, we predicted the physicochemical, antigenic and structural properties of the proteins, as well as subcellular characteristics with an emphasis on predicted signal peptides and transmembrane domains. All GRAs were predicted to be hydrophilic, thermotolerant, antigenic and non-allergenic, with GRA-α and GRA-β also showing particularly good predicted solubility properties. Using a multi-server approach, the B-cell epitopes were assessed and screened for antigenicity and solubility. Also, major histocompatibility complex (MHC)-binding T-cell epitopes were additionally screened antigenicity/immunogenicity, allergenicity, toxicity, and IFN-γ induction. The predicted cytotoxic T-lymphocyte (CTL) epitopes were found to possess high global population coverage at 88.02 %. This study provides only a foundational epitope identification platform using computer-based method that is instrumental in reframing the future experimental design of multi-epitope vaccines for toxoplasmosis. • Dense granule antigens are among immunogenic secretory proteins of T. gondii . • Six novel GRAs were evaluated in silico using immunoinformatics tools. • Data retrieved can be used for GRA-based multi-epitope vaccines.

The MicrobeVol. 9
Zabol University (IR), Razi University (IR), University of Neyshabur (IR), Tabriz University of Medical Sciences (IR), University of Tehran (IR), Islamic Azad University, Khoy Branch (IR), Islamic Azad University Tonekabon (IR)
Openalex Percentile: Top 21%
vaccines and immunoinformatics approaches
0.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.