Evaluation of the antigenic epitopes of EgAgB/1 and EgAgB/4 subunit antigens in G1 and G6 genotypes of Echinococcus granulosus using bioinformatics

An overview of in silico vaccine design against different pathogens and cancer

INTRODUCTION

Due to overcome the hardness of the vaccine design, computational vaccinology is emerging widely. Prediction of T cell and B cell epitopes, antigen processing analysis, antigenicity analysis, population coverage, conservancy analysis, allergenicity assessment, toxicity prediction, and protein-peptide docking are important steps in the process of designing and developing potent vaccines against various viruses and cancers. In order to perform all of the analyses, several bioinformatics tools and online web servers have been developed. Scientists must take the decision to apply more suitable and precise servers for each part based on their accuracy.

AREAS COVERED

In this review, a wide-range list of different bioinformatics tools and online web servers has been provided. Moreover, some studies were proposed to show the importance of various bioinformatics tools for predicting and developing efficient vaccines against different pathogens including viruses, bacteria, parasites, and fungi as well as cancer.

EXPERT OPINION

Immunoinformatics is the best way to find potential vaccine candidates against different pathogens. Thus, the selection of the most accurate tools is necessary to predict and develop potent preventive and therapeutic vaccines. To further evaluation of the computational and in silico vaccine design, in vitro/in vivo analyses are required to develop vaccine candidates.

Prevalence and risk factors associated with human cystic echinococcosis in Iran

Cystic echinococcosis (CE), as a zoonotic helminthic infection, imposes a large socioeconomic burden to societies throughout the world. This study aimed to analyze the demographic, clinical, diagnostic and therapeutic data of CE patients across all provinces in Iran. In this cross-sectional study, the mentioned data were routinely collected by provincial medical universities during the time from March 2016 to March 2017. The provincial population census was used to calculate the prevalence of CE per 1,000,000 populations for all provinces. T test and Chi squared test were used to compare variables between genders. Statistical analysis was done at 95% significant level using STATA 14 software. The overall prevalence of CE was 6.8 cases per 1,000,000 populations in Iran. The highest and lowest prevalence was reported for Northeast (15.2) and southeast (0.7) of Iran, respectively. There was a significant difference in the prevalence between male and female (5.8 vs. 7.9, p < 0.001). An increasing trend of the prevalence was found by age in both males and females. Abdominal pain was reported as the highest proportion of symptom (39.0%) and the liver was a commonly infected organ (62.7%). CT scan (39.0%) and MRI (1.9%) had the highest and lowest proportion among types of CE diagnosis, respectively. About 67% of the patients washed the vegetable by water without any disinfectant. Due to global efforts on the control and prevention of CE, it still remains endemic in many countries throughout the world. Incidence trend of CE in Iran showed being endemic for CE and more investigations are needed on all aspects of the disease.