从基因组信号到预测工具:一个关键特征分析和严格的对菌体-宿主预测基准
Jiayu Shang1, Cheng Peng2, Jiaojiao Guan2
1Department of Information Engineering, Chinese University of Hong Kong, Hong Kong (SAR), HKG, China.
Briefings in bioinformatics
|November 24, 2025
概括
准确的病毒宿主相互作用预测对于菌体治疗和病毒生态学至关重要. 一个对27个工具的基准显示性能因环境而异,没有单一的最佳选择,指导未来的研究.
科学领域:
- 微生物学 微生物学
- 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:
- 准确预测病毒与宿主相互作用对于理解病毒生态和菌体治疗等应用至关重要.
- 计算工具的扩散使得性能比较变得复杂,因为基准和可用性问题不一致.
研究的目的:
- 系统地审查和严格比较27种病毒宿主预测工具.
- 建立标准化的数据集和框架,用于在各种场景中评估工具性能.
主要方法:
- 在链接预测和多类分类框架中制定了主机预测.
- 构建了两个基准数据集:RefSeq-VHDB (数据库中心) 和MetaHiC-VHDB (元基因组发现).
- 根据预测准确度,预测率和计算成本评估了27种工具.
主要成果:
- 没有单一的工具证明了普遍的最佳性;性能取决于上下文.
- 像CHERRY和iPHoP这样的工具显示出广泛的适用性,而RaFAH和PHIST在特定的环境中表现出色.
- 确定了预测准确性,预测速率和计算成本之间的权衡.
结论:
- 这种系统性审查和基准为研究人员选择病毒宿主预测工具提供了实用指南.
- 建立的基准将推动未来的创新,解读复杂的病毒与宿主相互作用.
- 在病毒与宿主相互作用研究中的最佳工具选择中,特定环境的评估至关重要.
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