使用ApexOracle预测和生成抗生素来对抗未来的病原体.
ArXiv
|July 17, 2025
概括
一个新的人工智能 (AI) 模型,ApexOracle,预测抗菌功效,并设计新的抗生素. 这种人工智能工具通过识别针对新型和耐药细菌菌株的有效药物来打击抗微生物耐药性 (AMR).
科学领域:
- 计算生物学是一种计算生物学.
- 药物发现 药物发现
- 医学中的人工智能
背景情况:
- 抗菌素耐药性 (AMR) 是一个日益增长的全球健康威胁,需要新型抗生素的发现.
- 目前的方法难以快速识别对新出现的病原体和耐药菌株有效的化合物.
研究的目的:
- 介绍ApexOracle,一种用于预测抗菌活性和设计新型抗菌分子的AI模型.
- 解决针对新型和耐药细菌感染的有效治疗方法的局限性.
主要方法:
- 开发了ApexOracle,这是一个整合分子特征与病原体特定基因组和文献数据的AI模型.
- 使用了基础的离散扩散语言模型和双嵌入框架来表示菌株.
- 在预测抗菌功效和设计跨多种细菌物种的新型化合物的评估模型性能.
主要成果:
- 在预测抗菌活性方面,ApexOracle的表现超过了最先进的方法.
- 证明可靠的转移到新型病原体与有限的抗微生物数据.
- 成功生成了具有高预测功效的de novo分子来对抗优先细菌威胁.
结论:
- ApexOracle提供了一种可扩展的策略,用于打击抗菌素耐药性.
- 人工智能模型加速了针对当前和未来传染病威胁的有效抗生素的发现.
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