Backbone Database for Understanding the Biological Systems

我们已经扩展了KEGG，这是一个集成的数据库资源，用于从基因组和宏基因组信息中了解细胞，生物体和生态系统的更高层次的系统功能和效用。具体而言，我们已经开发了基因组注释方法，从基因组序列中预测分子网络，用于破译生物系统，以及化学注释方法，从化合物结构中预测化学反应，用于揭示环境化合物的微生物降解途径和植物次生代谢产物的生物合成途径。

We have expanded KEGG, an integrated database resource for understanding higher-level systemic functions and utilities of the cell, the organism, and the ecosystem from genomic and metagenomic information. Specifically, we have developed the genome annotation methods to predict molecular networks from genome sequences for deciphering the biological systems and the chemical annotation methods to predict chemical reactions from chemical compound structures for uncovering microbial degradation pathways of environmental compounds and biosynthetic pathways of plant secondary metabolites.