Immunoinformatics: Pushing the boundaries of immunology research and medicine

Miyo K. Chatanaka , Antigona Ulndreaj , Dorsa Sohaei , Ioannis Prassas
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引用次数: 2

Abstract

Immunology has come a long way, from its early religious beginnings thousands of years ago, to the explosion of immunological data in the 21st century. Thanks to discoveries in immunology, our world has seen tremendous progress in how we understand and treat disease. However, a lot of unmet clinical needs remain, which require focused, real-time collaboration at the clinical and scientific research forefronts. Moreover, the current exponential growth in the generation of research data makes it impossible to handle, analyze, visualize, and interpret such data without the use of advanced computational tools. We think immunoinformatics- a discipline at the intersection of immunology and computer science- will greatly increase efficiency in research productivity and disease treatment.

This perspective paper aims to emphasize the role of immunoinformatics toward pushing the boundaries of immunology research. It will also illustrate its clinical applications, including disease prevention, diagnosis, prognosis, treatment, monitoring, as well as in drug discovery.

We believe informatics approaches will be implemented increasingly more frequently in research. Thus, here we also discuss a set of fundamental prerequisites to facilitate the efficient and ethical integration of informatics in research and ensure immunological advancements provide maximum benefits to society.

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免疫信息学:推动免疫学研究和医学的边界
从几千年前的早期宗教起源,到21世纪免疫学数据的爆炸式增长,免疫学已经走过了漫长的道路。由于免疫学的发现,我们的世界在理解和治疗疾病方面取得了巨大进步。然而,仍有许多临床需求未得到满足,这需要在临床和科研前沿进行集中、实时的协作。此外,目前研究数据的生成呈指数级增长,如果不使用先进的计算工具,就不可能处理、分析、可视化和解释这些数据。我们认为免疫信息学——免疫学和计算机科学交叉的一门学科——将大大提高研究生产力和疾病治疗的效率。这篇前瞻性的论文旨在强调免疫信息学在推动免疫学研究边界方面的作用。它还将说明它的临床应用,包括疾病的预防、诊断、预后、治疗、监测以及药物发现。我们相信信息学方法将越来越频繁地应用于研究中。因此,在这里,我们也讨论了一组基本的先决条件,以促进信息学在研究中的高效和伦理整合,并确保免疫学进步为社会提供最大的利益。
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来源期刊
Immunoinformatics (Amsterdam, Netherlands)
Immunoinformatics (Amsterdam, Netherlands) Immunology, Computer Science Applications
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