Application of data science and bioinformatics in RNA therapeutics.

3区 生物学 Q2 Biochemistry, Genetics and Molecular Biology Progress in Molecular Biology and Translational Science Pub Date : 2024-01-01 Epub Date: 2024-01-25 DOI:10.1016/bs.pmbts.2023.12.019
Hue Vu Thi, Thanh-Nhat Hoang, Nguyen Quoc Khanh Le, Dinh-Toi Chu
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引用次数: 0

Abstract

Nowadays, information technology (IT) has been holding a significant role in daily life worldwide. The trajectory of data science and bioinformatics promises pioneering personalized therapies, reshaping medical landscapes and patient care. For RNA therapy to reach more patients, a comprehensive understanding of the application of data science and bioinformatics to this therapy is essential. Thus, this chapter has summarized the application of data science and bioinformatics in RNA therapeutics. Data science applications in RNA therapy, such as data integration and analytics, machine learning, and drug development, have been discussed. In addition, aspects of bioinformatics such as RNA design and evaluation, drug delivery system simulation, and databases for personalized medicine have also been covered in this chapter. These insights have shed light on existing evidence and opened potential future directions. From there, scientists can elevate RNA-based therapeutics into an era of tailored treatments and revolutionary healthcare.

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数据科学和生物信息学在 RNA 疗法中的应用。
如今,信息技术(IT)在全球日常生活中发挥着重要作用。数据科学和生物信息学的发展有望开创个性化疗法,重塑医疗格局和患者护理。要让更多患者接受 RNA 疗法,就必须全面了解数据科学和生物信息学在该疗法中的应用。因此,本章总结了数据科学和生物信息学在 RNA 疗法中的应用。讨论了数据科学在 RNA 疗法中的应用,如数据整合与分析、机器学习和药物开发。此外,本章还涉及生物信息学的各个方面,如 RNA 设计与评估、给药系统模拟和个性化医疗数据库。这些见解阐明了现有的证据,并开辟了潜在的未来方向。在此基础上,科学家们可以将基于 RNA 的疗法提升到定制治疗和革命性医疗的时代。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.00
自引率
0.00%
发文量
110
审稿时长
4-8 weeks
期刊介绍: Progress in Molecular Biology and Translational Science (PMBTS) provides in-depth reviews on topics of exceptional scientific importance. If today you read an Article or Letter in Nature or a Research Article or Report in Science reporting findings of exceptional importance, you likely will find comprehensive coverage of that research area in a future PMBTS volume.
期刊最新文献
Advantages and disadvantages of RNA therapeutics. An introduction to RNA therapeutics and their potentials. Application of data science and bioinformatics in RNA therapeutics. Computational tools supporting known miRNA identification. Recent applications of RNA therapeutic in clinics.
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