Artificial intelligence and neoantigens: paving the path for precision cancer immunotherapy.

Autor:	Bulashevska A; Host-Pathogen-Interactions, Paul-Ehrlich-Institut, Langen, Germany., Nacsa Z; Host-Pathogen-Interactions, Paul-Ehrlich-Institut, Langen, Germany., Lang F; TRON - Translational Oncology at the University Medical Center of the Johannes Gutenberg University gGmbH, Mainz, Germany., Braun M; Host-Pathogen-Interactions, Paul-Ehrlich-Institut, Langen, Germany., Machyna M; Host-Pathogen-Interactions, Paul-Ehrlich-Institut, Langen, Germany., Diken M; TRON - Translational Oncology at the University Medical Center of the Johannes Gutenberg University gGmbH, Mainz, Germany., Childs L; Host-Pathogen-Interactions, Paul-Ehrlich-Institut, Langen, Germany., König R; Host-Pathogen-Interactions, Paul-Ehrlich-Institut, Langen, Germany.
Jazyk:	angličtina
Zdroj:	Frontiers in immunology [Front Immunol] 2024 May 29; Vol. 15, pp. 1394003. Date of Electronic Publication: 2024 May 29 (Print Publication: 2024).
DOI:	10.3389/fimmu.2024.1394003
Abstrakt:	Cancer immunotherapy has witnessed rapid advancement in recent years, with a particular focus on neoantigens as promising targets for personalized treatments. The convergence of immunogenomics, bioinformatics, and artificial intelligence (AI) has propelled the development of innovative neoantigen discovery tools and pipelines. These tools have revolutionized our ability to identify tumor-specific antigens, providing the foundation for precision cancer immunotherapy. AI-driven algorithms can process extensive amounts of data, identify patterns, and make predictions that were once challenging to achieve. However, the integration of AI comes with its own set of challenges, leaving space for further research. With particular focus on the computational approaches, in this article we have explored the current landscape of neoantigen prediction, the fundamental concepts behind, the challenges and their potential solutions providing a comprehensive overview of this rapidly evolving field. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2024 Bulashevska, Nacsa, Lang, Braun, Machyna, Diken, Childs and König.)
Databáze:	MEDLINE
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