Presentation 2006-06-15
Inference of ancestral RecA protein by EM algorithm
Yuri NAGAI, Hitoshi KURUMIZAKA, Noboru MURATA,
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Abstract(in English) Protein RecA plays a center role to restore DNA when it is damaged because of ultraviolet rays. It is thought that the repair activity of the ancient RecA protein was stronger than that of present one, because ancient earth was exposed by a strong electromagnetic radiation. A past protein was estimated by comparing the amino acid sequences of the RecA protein exists in a present microorganism. Currently, parents arrays are estimated from the majority decision of those groups, classified by some known amino acid sequences, using MCMC method. However, the result of the simulation shows the poor accuracy. Therefore, instead of using MCMC, we use the EM method to estimate how to classify proteins.
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Keyword(in English) MCMC / Gibbs sampling / EM algorithm / RecA protein
Paper # NC2006-21
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Committee NC
Conference Date 2006/6/8(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Inference of ancestral RecA protein by EM algorithm
Sub Title (in English)
Keyword(1) MCMC
Keyword(2) Gibbs sampling
Keyword(3) EM algorithm
Keyword(4) RecA protein
1st Author's Name Yuri NAGAI
1st Author's Affiliation Waseda University()
2nd Author's Name Hitoshi KURUMIZAKA
2nd Author's Affiliation Waseda University
3rd Author's Name Noboru MURATA
3rd Author's Affiliation Waseda University
Date 2006-06-15
Paper # NC2006-21
Volume (vol) vol.106
Number (no) 101
Page pp.pp.-
#Pages 6
Date of Issue