Transformers meets neoantigen detection: a systematic literature review.

IF 1.8 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Journal of Integrative Bioinformatics Pub Date : 2024-07-04 eCollection Date: 2024-06-01 DOI:10.1515/jib-2023-0043
Vicente Machaca, Valeria Goyzueta, María Graciel Cruz, Erika Sejje, Luz Marina Pilco, Julio López, Yván Túpac
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Abstract

Cancer immunology offers a new alternative to traditional cancer treatments, such as radiotherapy and chemotherapy. One notable alternative is the development of personalized vaccines based on cancer neoantigens. Moreover, Transformers are considered a revolutionary development in artificial intelligence with a significant impact on natural language processing (NLP) tasks and have been utilized in proteomics studies in recent years. In this context, we conducted a systematic literature review to investigate how Transformers are applied in each stage of the neoantigen detection process. Additionally, we mapped current pipelines and examined the results of clinical trials involving cancer vaccines.

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变形金刚与新抗原检测:系统文献综述。
癌症免疫学为放疗和化疗等传统癌症疗法提供了一种新的替代疗法。其中一个值得注意的替代方法是开发基于癌症新抗原的个性化疫苗。此外,变形金刚被认为是人工智能的革命性发展,对自然语言处理(NLP)任务产生了重大影响,近年来已被用于蛋白质组学研究。在此背景下,我们进行了一次系统的文献综述,以调查变形金刚如何应用于新抗原检测过程的各个阶段。此外,我们还绘制了当前的流程图,并研究了涉及癌症疫苗的临床试验结果。
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来源期刊
Journal of Integrative Bioinformatics
Journal of Integrative Bioinformatics Medicine-Medicine (all)
CiteScore
3.10
自引率
5.30%
发文量
27
审稿时长
12 weeks
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