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疫苗设计与开发:探索与计算生物学和人工智能的接口。

Vaccine design and development: Exploring the interface with computational biology and AI.

机构信息

National Institute of Animal Biotechnology, Hyderabad, India.

Serum Institute of India, Pune, India.

出版信息

Int Rev Immunol. 2024;43(6):361-380. doi: 10.1080/08830185.2024.2374546. Epub 2024 Jul 10.


DOI:10.1080/08830185.2024.2374546
PMID:38982912
Abstract

Computational biology involves applying computer science and informatics techniques in biology to understand complex biological data. It allows us to collect, connect, and analyze biological data at a large scale and build predictive models. In the twenty first century, computational resources along with Artificial Intelligence (AI) have been widely used in various fields of biological sciences such as biochemistry, structural biology, immunology, microbiology, and genomics to handle massive data for decision-making, including in applications such as drug design and vaccine development, one of the major areas of focus for human and animal welfare. The knowledge of available computational resources and AI-enabled tools in vaccine design and development can improve our ability to conduct cutting-edge research. Therefore, this review article aims to summarize important computational resources and AI-based tools. Further, the article discusses the various applications and limitations of AI tools in vaccine development.

摘要

计算生物学涉及将计算机科学和信息学技术应用于生物学,以理解复杂的生物数据。它使我们能够大规模地收集、连接和分析生物数据,并构建预测模型。在 21 世纪,计算资源和人工智能(AI)已被广泛应用于生物科学的各个领域,如生物化学、结构生物学、免疫学、微生物学和基因组学,以处理大量数据以进行决策,包括在药物设计和疫苗开发等应用中,这是人类和动物福利的主要关注领域之一。在疫苗设计和开发中了解可用的计算资源和人工智能工具可以提高我们进行前沿研究的能力。因此,本文旨在总结重要的计算资源和基于人工智能的工具。此外,文章还讨论了人工智能工具在疫苗开发中的各种应用和局限性。

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Vaccine design and development: Exploring the interface with computational biology and AI.

Int Rev Immunol. 2024

[2]
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[3]
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[4]
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[5]
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[7]
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[9]
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[10]
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引用本文的文献

[1]
Accelerating vaccine development: Plug-and-play platforms for emerging infectious diseases.

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[2]
Evaluating the Immunogenic Potential of ApxI and ApxII from : An Immunoinformatics-Driven Study on mRNA Candidates.

Vet Sci. 2025-4-27

[3]
Opportunities and challenges with artificial intelligence in allergy and immunology: a bibliometric study.

Front Med (Lausanne). 2025-4-9

[4]
Epitope-Based Vaccines: The Next Generation of Promising Vaccines Against Bacterial Infection.

Vaccines (Basel). 2025-2-27

[5]
Multidrug-resistant hypervirulent : an evolving superbug.

Future Microbiol. 2025-4

[6]
Rethinking Optimal Immunogens to Face SARS-CoV-2 Evolution Through Vaccination.

Influenza Other Respir Viruses. 2025-1

[7]
The role of artificial intelligence in pandemic responses: from epidemiological modeling to vaccine development.

Mol Biomed. 2025-1-3

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