Presentation | 2013/6/20 Discrimination of symbiotic/parasitic bacterial type III secretion system effector protein using principal component analysis YUUICHI NAKANO, MITSUO IWADATE, HIDEAKI UMEYAMA, Y-H. TAGUCHI, |
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Abstract(in English) | Type III secretion system (T3SS) effector protein is a part of bacterial secretion systems. T3SS exists in the pathogenic and symbiotic bacteria. How the T3SS effector proteins in these two classes differ from each other should be interesting. In this paper, we proposed the usage of principal component analysis based linear discriminant analysis that discriminates T3SS effector proteins between plant pathogenic, animal pathogenic and plant symbiotic bacteria by the accuracy of 0.77. We also hypothesized that the feature vector proposed by Yahara et al represents protein structure, possibly protein folds defined in Structural Classification of Proteins (SCOP) database. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Type III secretion system / principal component analysis / linear discriminant analysis |
Paper # | Vol.2013-BIO-34 No.10 |
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Committee | NC |
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Conference Date | 2013/6/20(1days) |
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Registration To | Neurocomputing (NC) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Discrimination of symbiotic/parasitic bacterial type III secretion system effector protein using principal component analysis |
Sub Title (in English) | |
Keyword(1) | Type III secretion system |
Keyword(2) | principal component analysis |
Keyword(3) | linear discriminant analysis |
1st Author's Name | YUUICHI NAKANO |
1st Author's Affiliation | Department of Physics, Chuo University() |
2nd Author's Name | MITSUO IWADATE |
2nd Author's Affiliation | Department of Biological Science, Chuo University |
3rd Author's Name | HIDEAKI UMEYAMA |
3rd Author's Affiliation | Department of Biological Science, Chuo University |
4th Author's Name | Y-H. TAGUCHI |
4th Author's Affiliation | Department of Physics, Chuo University |
Date | 2013/6/20 |
Paper # | Vol.2013-BIO-34 No.10 |
Volume (vol) | vol.113 |
Number (no) | 111 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |