首页 | 本学科首页   官方微博 | 高级检索  
     


Predicting the network of substrate-enzyme-product triads by combining compound similarity and functional domain composition
Authors:Lei Chen  Kai-Yan Feng  Yu-Dong Cai  Kuo-Chen Chou  Hai-Peng Li
Affiliation:(1) Institute of Systems Biology, Shanghai University, Shanghai, 200444, PR China;(2) College of Information Engineering, Shanghai Maritime University, Shanghai, 201306, PR China;(3) Centre for Computational Systems Biology, Fudan University, Shanghai, 200433, PR China;(4) Division of Imaging Science, Medical School, Stopford Building, The University of Manchester, M13 9PT, UK;(5) Gordon Life Science Institute, San Diego, California 92130, USA;(6) CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200031, PR China
Abstract:

Background  

Metabolic pathway is a highly regulated network consisting of many metabolic reactions involving substrates, enzymes, and products, where substrates can be transformed into products with particular catalytic enzymes. Since experimental determination of the network of substrate-enzyme-product triad (whether the substrate can be transformed into the product with a given enzyme) is both time-consuming and expensive, it would be very useful to develop a computational approach for predicting the network of substrate-enzyme-product triads.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号