Presentation | 2003/6/19 Variational inference for estimating direction and position of sequence via HMM and its application to protein structure comparison Tsuyoshi KATO, Koji TSUDA, Kentaro TOMII, Kiyoshi ASAI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we present a novel algorithm for estimating the parameters of rigid-body transformation for sequence which contains the d-dimensional coordinates. The algorithm can be applied to determining the direction and position of protein structure. Usually the available sequences of proteins are rotated and shifted. It is necessary to correct the rotation and shift before analyzing protein structures. So we model the sequence via hidden Markov model (HMM) and develop the maximum likelihood estimation algorithm which infers the parameters of HMM and rigid-body transformation, simultaneously using variational method. The experimental results reveals the effectiveness of our method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | rigid-body transformation / hidden Markov model / variational method / GEM algorithm / protein structure comparison |
Paper # | PRMU2003-31 |
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Committee | PRMU |
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Conference Date | 2003/6/19(1days) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Variational inference for estimating direction and position of sequence via HMM and its application to protein structure comparison |
Sub Title (in English) | |
Keyword(1) | rigid-body transformation |
Keyword(2) | hidden Markov model |
Keyword(3) | variational method |
Keyword(4) | GEM algorithm |
Keyword(5) | protein structure comparison |
1st Author's Name | Tsuyoshi KATO |
1st Author's Affiliation | AIST Computational Biology Research Center() |
2nd Author's Name | Koji TSUDA |
2nd Author's Affiliation | AIST Computational Biology Research Center:Max Planck Institute for Biological Cybernetics |
3rd Author's Name | Kentaro TOMII |
3rd Author's Affiliation | AIST Computational Biology Research Center |
4th Author's Name | Kiyoshi ASAI |
4th Author's Affiliation | AIST Computational Biology Research Center:Graduate School of Frontier Sciences, The University of Tokyo |
Date | 2003/6/19 |
Paper # | PRMU2003-31 |
Volume (vol) | vol.103 |
Number (no) | 150 |
Page | pp.pp.- |
#Pages | 6 |
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