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This page (revision-14) was last changed on 25-Mar-2012 11:28 by ZhipingLiu

This page was created on 31-Mar-2011 09:27 by LingyunWu

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* Last updated: March 30, 2011
* Last updated: March 18, 2012
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Welcome to our website! This is a webpage for our paper "Inferring protein-protein interactions based on sequences and interologs in Mycobacterium tuberculosis". Mycobacterium tuberculosis is a dangerous bacterium for human health. Extensive protein interactions will provide much information on biological processes to understand its living systems. In this paper, we constructed an integrated M. tuberculosis protein interaction network by machine learning and ortholog-based methods. Firstly, we developed a support vector machine (SVM) method to infer the protein interactions of tuberculosis H37Rv by gene sequence information. We tested our predictor in Escherichia coli and mapped the genetic codon features underlying protein interactions to M. tuberculosis. Moreover, the documented interactions of other 14 species are mapped to M. tuberculosis by the interolog method on protein sequence level. The ensemble protein interactions were validated by diverse functional linkages i.e., gene coexpression, evolutionary relationship and functional similarity, extracted from heterogeneous data sources. The accuracy and validation demonstrate the effectiveness and efficiency of our framework. Our methods can be straightforwardly extended to infer the protein interactions of other species.
Welcome to our website! This is a webpage for our paper "Inferring a protein interaction map of Mycobacterium tuberculosis based on sequences and interologs". Mycobacterium tuberculosis is a dangerous bacterium for human health. Extensive protein interactions will provide much information on biological processes to understand its living systems. In this paper, we constructed an integrated M. tuberculosis protein interaction network by machine learning and ortholog-based methods. Firstly, we developed a support vector machine (SVM) method to infer the protein interactions of tuberculosis H37Rv by gene sequence information. We tested our predictor in Escherichia coli and mapped the genetic codon features underlying protein interactions to M. tuberculosis. Moreover, the documented interactions of other 14 species are mapped to M. tuberculosis by the interolog method on protein sequence level. The ensemble protein interactions were validated by diverse functional linkages i.e., gene coexpression, evolutionary relationship and functional similarity, extracted from heterogeneous data sources. The accuracy and validation demonstrate the effectiveness and efficiency of our framework. Our methods can be straightforwardly extended to infer the protein interactions of other species.
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!!!References
!!!Reference
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* Liu ZP, Wang JG, Qiu YQ, Leung RK, Zhang XS, Tsui SK and Chen L: Inferring protein-protein interactions based on sequences and interologs in Mycobacterium tuberculosis. 2011, In submission.
* Liu ZP, Wang J, Qiu YQ, Leung RK, Zhang XS, Tsui SK and Chen L: Inferring a protein interaction map of Mycobacterium tuberculosis based on sequences and interologs. BMC Bioinformatics, 13(Suppl 7):S6, 2012.
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* [MTBPPI/mtbppi.rar]
* [mtbppi.rar|MTBPPI/mtbppi.rar]
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There are [{org.goodjava.plugin.hitcounter.HitCounter}] visitors since March 30, 2011
Category: [Supplementary]
Version Date Modified Size Author Changes ... Change note
14 25-Mar-2012 11:28 1.875 kB ZhipingLiu to previous
13 25-Mar-2012 11:26 1.876 kB ZhipingLiu to previous | to last
12 25-Mar-2012 11:25 1.88 kB ZhipingLiu to previous | to last
11 27-Nov-2011 14:36 1.857 kB ZhipingLiu to previous | to last
10 20-Nov-2011 22:44 1.897 kB LingyunWu to previous | to last
9 20-Nov-2011 22:43 1.908 kB LingyunWu to previous | to last
8 20-Nov-2011 10:15 1.989 kB ZhipingLiu to previous | to last
7 18-Sep-2011 15:19 1.958 kB ZhipingLiu to previous | to last
6 15-May-2011 16:25 1.954 kB LingyunWu to previous | to last
5 14-May-2011 21:34 1.922 kB LingyunWu to previous | to last
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