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针对不同病原体和癌症的疫苗设计概述。

An overview of vaccine design against different pathogens and cancer.

作者信息

Kardani Kimia, Bolhassani Azam, Namvar Ali

机构信息

Department of Pharmaceutical Biotechnology, School of Pharmacy, Shahid Beheshti University of Medical Sciences , Tehran, Iran.

Department of Hepatitis and AIDS, Pasteur Institute of Iran , Tehran, Iran.

出版信息

Expert Rev Vaccines. 2020 Aug;19(8):699-726. doi: 10.1080/14760584.2020.1794832. Epub 2020 Aug 10.

Abstract

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 vaccine design, analyses are required to develop vaccine candidates.

摘要

引言

为克服疫苗设计的难度,计算疫苗学正广泛兴起。预测T细胞和B细胞表位、抗原加工分析、抗原性分析、群体覆盖率、保守性分析、致敏性评估、毒性预测以及蛋白质-肽对接是设计和开发针对各种病毒及癌症的有效疫苗过程中的重要步骤。为进行所有这些分析,已开发了多种生物信息学工具和在线网络服务器。科学家必须根据其准确性决定为每个部分应用更合适、精确的服务器。

涵盖领域

在本综述中,提供了一份广泛的不同生物信息学工具和在线网络服务器列表。此外,还提出了一些研究以展示各种生物信息学工具对于预测和开发针对不同病原体(包括病毒、细菌、寄生虫、真菌以及癌症)的高效疫苗的重要性。

专家观点

免疫信息学是寻找针对不同病原体的潜在候选疫苗的最佳途径。因此,选择最准确的工具对于预测和开发有效的预防性和治疗性疫苗是必要的。为进一步评估计算和疫苗设计,需要进行分析以开发候选疫苗。

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