Supervised enzyme network inference from the integration of genomic data and chemical information

Yoshihiro Yamanishi, Jean Philippe Vert, Minoru Kanehisa

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抜粋

Motivation: The metabolic network is an important biological network which relates enzyme proteins and chemical compounds. A large number of metabolic pathways remain unknown nowadays, and many enzymes are missing even in known metabolic pathways. There is, therefore, an incentive to develop methods to reconstruct the unknown parts of the metabolic network and to identify genes coding for missing enzymes. Results: This paper presents new methods to infer enzyme networks from the integration of multiple genomic data and chemical information, in the framework of supervised graph inference. The originality of the methods is the introduction of chemical compatibility as a constraint for refining the network predicted by the network inference engine. The chemical compatibility between two enzymes is obtained automatically from the information encoded by their Enzyme Commission (EC) numbers. The proposed methods are tested and compared on their ability to infer the enzyme network of the yeast Saccharomyces cerevisiae from four datasets for enzymes with assigned EC numbers: gene expression data, protein localization data, phylogenetic profiles and chemical compatibility information. It is shown that the prediction accuracy of the network reconstruction consistently improves owing to the introduction of chemical constraints, the use of a supervised approach and the weighted integration of multiple datasets. Finally, we conduct a comprehensive prediction of a global enzyme network consisting of all enzyme candidate proteins of the yeast to obtain new biological findings.

元の言語英語
ホスト出版物のタイトルISMB 2005 Proceedings - 13th International Conference on Intelligent Systems for Molecular Biology
出版物ステータス出版済み - 2005
外部発表Yes
イベント13th International Conference on Intelligent Systems for Molecular Biology, ISMB 2005 - Detroit, MI, 米国
継続期間: 6 25 20056 29 2005

その他

その他13th International Conference on Intelligent Systems for Molecular Biology, ISMB 2005
米国
Detroit, MI
期間6/25/056/29/05

All Science Journal Classification (ASJC) codes

  • Biochemistry, Genetics and Molecular Biology(all)
  • Artificial Intelligence
  • Information Systems

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  • これを引用

    Yamanishi, Y., Vert, J. P., & Kanehisa, M. (2005). Supervised enzyme network inference from the integration of genomic data and chemical information. : ISMB 2005 Proceedings - 13th International Conference on Intelligent Systems for Molecular Biology