Estimation of protein networks for cell cycle in yeast based on least-squares method

Noriko Takahashi; Takehito Azuma; Shuichi Adachi

Estimation of protein networks for cell cycle in yeast based on least-squares method

Noriko Takahashi
, Takehito Azuma
, Shuichi Adachi

Department of Applied Physics and Physico-Informatics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

In this paper, a new approach to estimation problems of protein networks is proposed, based on an idea of systems biology. Generally, it is difficult to estimate complicated networks by molecular biology. However, it will be possible to solve the difficulty by using the proposed approach. This approach is based on system identification using least-squares method for state-space models. Moreover, the proposed approach is applied to an estimation problem of protein networks for cell cycle in yeast. Nine proteins are selected from 48 proteins concerned with cell cycle in yeast, then 9-dimensional protein networks are estimated.

Original language	English
Title of host publication	ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings
Pages	196-199
Number of pages	4
Publication status	Published - 2009
Event	ICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009 - Fukuoka, Japan Duration: 2009 Aug 18 → 2009 Aug 21

Publication series

Name	ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings

Other

Other	ICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009
Country/Territory	Japan
City	Fukuoka
Period	09/8/18 → 09/8/21

Keywords

Cell cycle
Least-squares method
Protein networks
System identification
Systems biology

ASJC Scopus subject areas

Information Systems
Control and Systems Engineering
Industrial and Manufacturing Engineering

Cite this

Estimation of protein networks for cell cycle in yeast based on least-squares method. / Takahashi, Noriko; Azuma, Takehito; Adachi, Shuichi.
ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings. 2009. p. 196-199 5333366 (ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Takahashi, N, Azuma, T & Adachi, S 2009, Estimation of protein networks for cell cycle in yeast based on least-squares method. in ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings., 5333366, ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings, pp. 196-199, ICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009, Fukuoka, Japan, 09/8/18.

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AU - Takahashi, Noriko

AU - Azuma, Takehito

AU - Adachi, Shuichi

PY - 2009

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N2 - In this paper, a new approach to estimation problems of protein networks is proposed, based on an idea of systems biology. Generally, it is difficult to estimate complicated networks by molecular biology. However, it will be possible to solve the difficulty by using the proposed approach. This approach is based on system identification using least-squares method for state-space models. Moreover, the proposed approach is applied to an estimation problem of protein networks for cell cycle in yeast. Nine proteins are selected from 48 proteins concerned with cell cycle in yeast, then 9-dimensional protein networks are estimated.

AB - In this paper, a new approach to estimation problems of protein networks is proposed, based on an idea of systems biology. Generally, it is difficult to estimate complicated networks by molecular biology. However, it will be possible to solve the difficulty by using the proposed approach. This approach is based on system identification using least-squares method for state-space models. Moreover, the proposed approach is applied to an estimation problem of protein networks for cell cycle in yeast. Nine proteins are selected from 48 proteins concerned with cell cycle in yeast, then 9-dimensional protein networks are estimated.

KW - Cell cycle

KW - Least-squares method

KW - Protein networks

KW - System identification

KW - Systems biology

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M3 - Conference contribution

AN - SCOPUS:77951140683

SN - 9784907764333

T3 - ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings

SP - 196

EP - 199

BT - ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings

T2 - ICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009

Y2 - 18 August 2009 through 21 August 2009

ER -

Estimation of protein networks for cell cycle in yeast based on least-squares method

Abstract

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Keywords

ASJC Scopus subject areas

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