期刊
SMALL
卷 18, 期 46, 页码 -出版社
WILEY-V C H VERLAG GMBH
DOI: 10.1002/smll.202204941
关键词
artificial intelligence; immunology; immunorecognition; machine learning; nucleic acid nanoparticles (NANPs); RNA nanotechnology
类别
资金
- National Institute of General Medical Sciences of the National Institutes of Health [R01GM120487, R35GM139587]
- National Cancer Institute, National Institutes of Health [75N91019D00024]
- NCATS, NIH
Nucleic acid nanoparticles (NANPs) designed to interact with the human immune system can provide innovative therapeutic strategies. A computational model based on the transformer architecture has been developed to predict the immune activities of NANPs, which can aid in addressing public health challenges and promoting the development of novel biomedical tools.
Nucleic acid nanoparticles, or NANPs, rationally designed to communicate with the human immune system, can offer innovative therapeutic strategies to overcome the limitations of traditional nucleic acid therapies. Each set of NANPs is unique in their architectural parameters and physicochemical properties, which together with the type of delivery vehicles determine the kind and the magnitude of their immune response. Currently, there are no predictive tools that would reliably guide the design of NANPs to the desired immunological outcome, a step crucial for the success of personalized therapies. Through a systematic approach investigating physicochemical and immunological profiles of a comprehensive panel of various NANPs, the research team developes and experimentally validates a computational model based on the transformer architecture able to predict the immune activities of NANPs. It is anticipated that the freely accessible computational tool that is called an artificial immune cell, or AI-cell, will aid in addressing the current critical public health challenges related to safety criteria of nucleic acid therapies in a timely manner and promote the development of novel biomedical tools.
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