Li Shuzhao
The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT 06032, USA.
University of Connecticut School of Medicine, Farmington, CT 06032, USA.
bioRxiv. 2025 Jun 3:2025.05.31.657198. doi: 10.1101/2025.05.31.657198.
Emerging biochemical data require effective pathway visualization. However, traditional metabolic maps were based on manual layouts, falling behind new scientific discoveries. Automated visualization of metabolic pathways has been investigated heavily, but resulted in few consensuses. We report here a new approach based on circularized van Krevelen diagram. This method is based on chemical principles, providing the consistency critical for community exchanges and collaborations. Example applications include metabolomics data interpretation and a new set of metabolic maps.
新出现的生化数据需要有效的途径可视化。然而，传统的代谢图基于手工布局，落后于新的科学发现。代谢途径的自动可视化已得到大量研究，但达成的共识很少。我们在此报告一种基于圆形范克雷维恩图的新方法。该方法基于化学原理，为社区交流与合作提供了至关重要的一致性。示例应用包括代谢组学数据解读和一组新的代谢图。
