| Prediction of interaction between enzymes and small molecules in metabolic pathways through integrating multiple classifiers. | |
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MedLine Citation:
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PMID: 20937036 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Information about interactions between enzymes and small molecules is important for understanding various metabolic bioprocesses. In this article we applied a majority voting system to predict the interactions between enzymes and small molecules in the metabolic pathways, by combining several classifiers including AdaBoost, Bagging and KNN together. The advantage of such a strategy is based on the principle that a predictor based majority voting systems usually provide more reliable results than any single classifier. The prediction accuracies thus obtained on a training dataset and an independent testing dataset were 82.8% and 84.8%, respectively. The prediction accuracy for the networking couples in the independent testing dataset was 75.5%, which is about 4% higher than that reported in a previous study. The web-server for the prediction method presented in this paper is available at http://chemdata.shu.edu.cn/small-enz. |
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Authors:
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Jin Lu; Yubei Zhu; Yajun Li; Wencong Lu; Lele Hu; Bing Niu; Pengfei Qing; Lei Gu |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Protein and peptide letters Volume: 17 ISSN: 1875-5305 ISO Abbreviation: Protein Pept. Lett. Publication Date: 2010 Dec |
Date Detail:
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Created Date: 2010-11-25 Completed Date: 2011-02-25 Revised Date: 2011-03-31 |
Medline Journal Info:
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Nlm Unique ID: 9441434 Medline TA: Protein Pept Lett Country: Netherlands |
Other Details:
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Languages: eng Pagination: 1536-41 Citation Subset: IM |
Affiliation:
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School of Materials Science and Engineering, Shanghai University, 149 Yan-Chang Road, Shanghai 200444, China. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Computer Simulation* Enzymes / chemistry* Metabolic Networks and Pathways* Models, Biological Models, Chemical Protein Binding |
| Chemical | |
Reg. No./Substance:
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0/Enzymes |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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