Predicting the network of substrate-enzyme-product triads by combining compound similarity and functional domain composition |
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| Authors: | Lei Chen Kai-Yan Feng Yu-Dong Cai Kuo-Chen Chou Hai-Peng Li |
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| 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 |
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| 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. |
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