使用人工智能记录隐藏的RNA病毒层
1National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, State Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.
Cell
|October 10, 2024
概括
一个新的深度学习工具 LucaProt 通过分析依赖RNA的RNA聚合酶序列来识别高度分离的RNA病毒. 这一发现扩大了我们对全球病毒圈和整个生态系统的病毒多样性的理解.
科学领域:
- 病毒学
- 生物信息学
- 基因组学
背景情况:
- 大基因组工具往往无法检测出高度分歧的RNA病毒.
- 依赖RNA的RNA聚合酶 (RdRP) 是RNA病毒复制的一个关键酶.
研究的目的:
- 开发一种用于发现高度分离的RNA病毒序列的新计算工具.
- 在各种全球生态系统中描述新型RNA病毒的多样性和分布.
主要方法:
- 开发 LucaProt,一个集序和结构信息的深度学习算法.
- 分析来自全球不同环境的10487个转录组.
- 使用RT-PCR和RNA/DNA测序验证新型病毒序列.
主要成果:
- 确定了161,979种潜在的RNA病毒和180个RNA病毒超群.
- 发现异常长的RNA病毒基因组 (多达47,250个核酸) 和复杂的基因组结构.
- 在空气,温泉和热水口等多种环境中检测新型RNA病毒.
结论:
- LucaProt显著提高了分离的RNA病毒的发现.
- 这项研究揭示了全球RNA病毒圈的巨大规模及其生态分布.
- 计算工具对于全球RNA病毒的全面记录至关重要.
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