Transformers meets neoantigen detection: a systematic literature review

Autor: Machaca Vicente, Goyzueta Valeria, Cruz María Graciel, Sejje Erika, Pilco Luz Marina, López Julio, Túpac Yván
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Journal of Integrative Bioinformatics, Vol 21, Iss 2, Pp 17-48 (2024)
Druh dokumentu: article
ISSN: 1613-4516
DOI: 10.1515/jib-2023-0043
Popis: 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.
Databáze: Directory of Open Access Journals