Immunoinformatics Approach for Optimization of Targeted Vaccine Design: New Paradigm in Clinical Trials and Healthcare Management.

IF 1 Q4 PHARMACOLOGY & PHARMACY
Virendra S Gomase, Rupali Sharma, Suchita P Dhamane
{"title":"Immunoinformatics Approach for Optimization of Targeted Vaccine Design: New Paradigm in Clinical Trials and Healthcare Management.","authors":"Virendra S Gomase, Rupali Sharma, Suchita P Dhamane","doi":"10.2174/0115748871374235250702065617","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The immunoinformatics approach combines bioinformatics and computational tools, offering a revolutionary method for improving vaccine development by analyzing immune responses at the molecular level. Immunoinformatics enables the creation of customized vaccines designed for specific infections or cancer cells.</p><p><strong>Objective: </strong>The primary objective of immunoinformatics is to enhance the vaccine development process by predicting and boosting the body's immune response. It aims to identify potential immunogenic epitopes and biomarkers that are important for creating vaccines with greater specificity and efficacy, especially when dealing with large-scale data.</p><p><strong>Methods: </strong>Immunoinformatics utilizes a combination of proteomic, genomic, and epigenomic data, as well as machine learning algorithms and artificial intelligence techniques. These tools predict how various immunological components, e.g., T-cell and B-cell epitopes, interact with the immune system. This approach allows researchers to avoid traditional trial-and-error methods, enabling the efficient identification of potential vaccine candidates. Additionally, personalized vaccines can be developed by considering individual genetic and immunological characteristics.</p><p><strong>Results: </strong>The use of immunoinformatics techniques accelerates the screening of vaccine candidates, enhances patient stratification, and optimizes formulations for clinical trials. This approach has been shown to improve vaccine safety, efficacy, and development speed. It also holds promise for managing healthcare on a large scale by producing vaccines tailored to specific populations, thereby improving the overall effectiveness of vaccination programs.</p><p><strong>Conclusion: </strong>Immunoinformatics represents a transformative approach to vaccine research, improving clinical trial efficiency and enabling the development of more reliable, flexible, and personalized vaccines. This approach has the potential to significantly enhance global healthcare outcomes by accelerating the vaccine development process and optimizing vaccination strategies.</p>","PeriodicalId":21174,"journal":{"name":"Reviews on recent clinical trials","volume":" ","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Reviews on recent clinical trials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/0115748871374235250702065617","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: The immunoinformatics approach combines bioinformatics and computational tools, offering a revolutionary method for improving vaccine development by analyzing immune responses at the molecular level. Immunoinformatics enables the creation of customized vaccines designed for specific infections or cancer cells.

Objective: The primary objective of immunoinformatics is to enhance the vaccine development process by predicting and boosting the body's immune response. It aims to identify potential immunogenic epitopes and biomarkers that are important for creating vaccines with greater specificity and efficacy, especially when dealing with large-scale data.

Methods: Immunoinformatics utilizes a combination of proteomic, genomic, and epigenomic data, as well as machine learning algorithms and artificial intelligence techniques. These tools predict how various immunological components, e.g., T-cell and B-cell epitopes, interact with the immune system. This approach allows researchers to avoid traditional trial-and-error methods, enabling the efficient identification of potential vaccine candidates. Additionally, personalized vaccines can be developed by considering individual genetic and immunological characteristics.

Results: The use of immunoinformatics techniques accelerates the screening of vaccine candidates, enhances patient stratification, and optimizes formulations for clinical trials. This approach has been shown to improve vaccine safety, efficacy, and development speed. It also holds promise for managing healthcare on a large scale by producing vaccines tailored to specific populations, thereby improving the overall effectiveness of vaccination programs.

Conclusion: Immunoinformatics represents a transformative approach to vaccine research, improving clinical trial efficiency and enabling the development of more reliable, flexible, and personalized vaccines. This approach has the potential to significantly enhance global healthcare outcomes by accelerating the vaccine development process and optimizing vaccination strategies.

优化靶向疫苗设计的免疫信息学方法:临床试验和医疗保健管理的新范式。
背景:免疫信息学方法结合了生物信息学和计算工具,通过在分子水平上分析免疫反应,为改进疫苗开发提供了一种革命性的方法。免疫信息学使得针对特定感染或癌细胞定制疫苗成为可能。目的:免疫信息学的主要目的是通过预测和增强机体的免疫反应来促进疫苗的开发过程。它的目的是确定潜在的免疫原性表位和生物标志物,这对于制造具有更大特异性和有效性的疫苗非常重要,特别是在处理大规模数据时。方法:免疫信息学结合了蛋白质组学、基因组学和表观基因组学数据,以及机器学习算法和人工智能技术。这些工具预测各种免疫成分,如t细胞和b细胞表位,如何与免疫系统相互作用。这种方法使研究人员能够避免传统的试错方法,从而能够有效地识别潜在的候选疫苗。此外,可以通过考虑个体遗传和免疫学特征来开发个性化疫苗。结果:免疫信息学技术的使用加速了候选疫苗的筛选,增强了患者分层,并优化了临床试验的配方。这种方法已被证明可以提高疫苗的安全性、有效性和开发速度。它还有望通过生产针对特定人群的疫苗来大规模管理医疗保健,从而提高疫苗接种计划的整体有效性。结论:免疫信息学代表了疫苗研究的一种变革性方法,可以提高临床试验效率,并使开发更可靠、更灵活和更个性化的疫苗成为可能。这种方法有可能通过加速疫苗开发进程和优化疫苗接种战略,显著提高全球卫生保健成果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Reviews on recent clinical trials
Reviews on recent clinical trials PHARMACOLOGY & PHARMACY-
CiteScore
3.10
自引率
5.30%
发文量
44
期刊介绍: Reviews on Recent Clinical Trials publishes frontier reviews on recent clinical trials of major importance. The journal"s aim is to publish the highest quality review articles in the field. Topics covered include: important Phase I – IV clinical trial studies, clinical investigations at all stages of development and therapeutics. The journal is essential reading for all researchers and clinicians involved in drug therapy and clinical trials.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信