Japanese Society for Bioinformatics - Supplemental information of Modeling and Estimation of Dynamic EGFR Pathway by Data Assimilation Approach Using Time Series Proteomic Data in Genome Informatics 2006

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Supplemental information of Modeling and Estimation of Dynamic EGFR Pathway by Data Assimilation Approach Using Time Series Proteomic Data

Shinya Tasaki*, Masao Nagasaki*, Masaaki Oyama, Hiroko Hata, Kazuko Ueno, Ryo Yoshida, Tomoyuki Higuchi, Sumio Sugano, and Satoru Miyano
*These authors equally contributed this work.

Overview of EGFR signal pathway model

Supplemental Data 1 All CSML models and parameters that were used in this paper with the CSML format and the Excel format(xls).

Name	Excel format	CSML1.9 Model	Add/Remove	Description
model 1	model 1	model1	-(original)	Original model.
model 2	model 2	model2	add	p38MAPK directly inactivates MKK3/4/6/7.
model 3	model 3	model3	add	Erk2 directly inactivates MKK3/4/6/7.
model 4	model 4	model4	add	p38MAPK itself activates the phosphatase of p38MAPK.
model 5	model 5	model5	add	Erk2 directly activates the phosphatase of p38MAPK.
model 6	model 6	model6	add	The combination of model 2 and model 4.
model 7	model 7	model7	add	The combination of model 3 and model 5.
model 8	model 8	model8	add	The combination of model 2 and model 5.
model 9	model 9	model9	add	The combination of model 3 and model 4.
model 10	model 10	model10	remove(control)	The activation process of Rac/Cdc42 by Vav2 is removed.

Supplemental Data 2 Snapshot of whole network on Cell Illustrator

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