Ogata H, Goto S, Fujibuchi W, Kanehisa M
Institute for Chemical Research, Kyoto University, Japan.
Biosystems. 1998 Jun-Jul;47(1-2):119-28. doi: 10.1016/s0303-2647(98)00017-3.
We introduce and discuss a new computational approach towards prediction and inference of biological functions from genomic sequences by making use of the pathway data in KEGG. Due to its piecewise nature, the current approach of predicting each gene function based on sequence similarity searches often fails to reconstruct cellular functions with all necessary components. The pathway diagram in KEGG, which may be considered a wiring diagram of molecules in biological systems, can be utilised as a reference for functional reconstruction. KEGG also contains binary relations that represent molecular interactions and relations and that can be utilised for computing and comparing pathways.
我们介绍并讨论一种利用KEGG中的通路数据从基因组序列预测和推断生物学功能的新计算方法。由于其分段性质，当前基于序列相似性搜索预测每个基因功能的方法往往无法重建包含所有必要成分的细胞功能。KEGG中的通路图可被视为生物系统中分子的接线图，可作为功能重建的参考。KEGG还包含表示分子相互作用和关系的二元关系，可用于计算和比较通路。
