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人工智能和免疫类药物的不断变化的景观

Thanh Hoa Vo¹, Edel McNeela¹, Orla O'Donovan¹

¹Department of Science, Pharmaceutical and Molecular Biotechnology Research Center (PMBRC), South East Technological University, Waterford, Ireland.

Proteomics. Clinical applications

|July 31, 2025

概括

人工智能 (AI) 正通过改进新抗原发现来彻底改变癌症免疫疗法的免疫学. 人工智能增强了的识别和免疫性预测,为更有效的癌症治疗铺平了道路.

科学领域:

免疫学免疫学免疫学
生物信息学是一种生物信息学.
计算生物学计算生物学

背景情况:

免疫学研究由MHC分子呈现的,对于新抗原发现和癌症免疫治疗至关重要.
挑战包括复杂的质谱数据,多样化的源和可变的免疫反应.

研究的目的:

审查人工智能 (AI) 在推进免疫学工作流程中的应用.
要突出AI如何解决识别可操作的新抗原的局限性,以乳腺癌为案例研究.

主要方法:

在 de novo 测序,谱匹配,光谱预测,MHC 结合预测和 T 细胞识别建模中审查 AI 应用.
以乳腺癌为重点的案例研究分析,以说明AI在新抗原识别中的作用.

主要成果:

人工智能增强了对MHC结合的检测,包括低丰度,非正规和翻译后修改的表位.
人工智能改善了谱匹配和T细胞表位预测,有助于新抗原优先排序.
人工智能揭示了以前"冷"的瘤,如乳腺癌中的免疫特征.

结论:

人工智能正在通过克服识别和预测挑战来改变免疫学.
人工智能的进步扩大了新抗原发现管道,并优化了癌症免疫疗法.
未来的人工智能模型,包括深度学习和多omics,承诺更准确和可扩展的免疫疗法开发.

关键词:

人工智能的人工智能是人工智能.癌症疫苗疫苗癌症疫苗免疫类药物免疫类药物免疫疗法免疫疗法新抗原是一种新抗原.

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