Visual model checking approach of high level Petri-net and its application to dynamic biological pathway model
Visual model checking approach of high level Petri-net and its application to dynamic biological pathway model
批准号:
20700265
负责人:
NAGASAKI Masao
金额:
$2.66万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Young Scientists (B)
财政年份:
2008
资助国家:
日本
项目状态:
已结题
起止时间:
2008 至 2009
中文摘要
开发并实现了一种路径建模与仿真体系结构(Hybrid Functional Petri net: HFPNe)。在本研究中,将模型检验的概念引入到HFPNe中。利用HFPNe建立了秀丽隐杆线虫细胞命运决定的仿真模型,并利用模型检验方法选择了细胞命运决定的合理规则。在此基础上,提出了一种从给定HFPNe模型中提取活动子路径及其运动轨迹的算法。利用HFPNe的生物钟仿真模型证明了该方法的适用性。
英文摘要
The pathway modeling and simulation architecture named (Hybrid Functional Petri net: HFPNe) has been developed and implemented. In this research, a model checking concept is introduced to the HFPNe. A simulation model of C. elegans cell fate determination is created using HFPNe and the reasonable rule of the cell fate determination is selected by using the model checking approach. Furthermore, an algorithm to extract the active sub-pathways from a given HFPNe model and the trajectory of these sub-pathways is developed. The applicability is demonstrated using the circadian clock simulation model with HFPNe.
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DOI:
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发表时间:
2009
期刊:
Cell Illustrator 4. 0 10
影响因子:
--
作者:
[Nagasaki, M., Saito A., Jeong E, Li C., Kojima, K, Ikeda, E., Miyano, S]
通讯作者:
S
Simulation-based model checking approach to cell fate pecification during Caenorhabditis elegans vulval development by hybrid functional Petri net with extension
基于仿真的模型检查方法,通过具有可扩展性的混合功能 Petri 网,对秀丽隐杆线虫外阴发育过程中的细胞命运进行指定
DOI:
--
发表时间:
2009
期刊:
BMC Systems Biology 3
影响因子:
--
作者:
[Li, C. *, Nagasaki, M. *, Ueno, K., Miyano, S.]
通讯作者:
S.
DOI:
10.1186/1752-0509-2-53
发表时间:
2008-06-23
期刊:
BMC SYSTEMS BIOLOGY
影响因子:
--
作者:
[Nagasaki, Masao, Saito, Ayumu, Miyano, Satoru]
通讯作者:
Miyano, Satoru
DOI:
10.1186/1752-0509-4-39
发表时间:
2010-04-01
期刊:
BMC systems biology
影响因子:
--
作者:
[Li C, Nagasaki M, Saito A, Miyano S]
通讯作者:
Miyano S
Rule-based reasoning for system dynamics in cell systems
细胞系统中系统动力学的基于规则的推理
DOI:
--
发表时间:
2008
期刊:
Genome Informatics 20
影响因子:
--
作者:
[Jeong, E. Nagasaki, M., MiYano, S.]
通讯作者:
S.
共 7 条
RNA-Seq data analysis for ncRNA function prediction to thousands public RNA-Seq data on super computer
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批准号:23650150
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项目类别:Grant-in-Aid for Challenging Exploratory Research
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资助金额:$1.16万
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财政年份:2011
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负责人:NAGASAKI Masao
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依托单位:
海外基金