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

被引:1
|
作者
Panchariya, Darshan C. [1 ]
Karthic, Anandakrishnan [2 ]
Singh, Surya Pratap [3 ]
Mani, Ashutosh [4 ]
Chawade, Aakash [5 ]
Kushwaha, Sandeep [1 ]
机构
[1] Natl Inst Anim Biotechnol, Hyderabad, India
[2] Serum Inst India Res Fdn, Pune, Maharashtra, India
[3] UR Adv Therapeut Pvt Ltd, Hyderabad, India
[4] Motilal Nehru Natl Inst Technol, Prayagraj, India
[5] Swedish Univ Agr Sci, Alnarp, Sweden
关键词
Artificial intelligence; clinical trials; computational biology; future vaccines; immunoinformatics; machine learning; vaccine design and development; B-CELL EPITOPES; WEB SERVER; MOLECULAR-DYNAMICS; SOFTWARE PACKAGE; MHC-BINDING; PREDICTION; DATABASE; MEMBRANE; PROTEINS; TOOL;
D O I
10.1080/08830185.2024.2374546
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
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.
引用
收藏
页码:361 / 380
页数:20
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