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

EGFR_model_illust_small.png

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 filemodel 1 filemodel1 -(original) Original model.
model 2 filemodel 2 filemodel2 add p38MAPK directly inactivates MKK3/4/6/7.
model 3 filemodel 3 filemodel3 add Erk2 directly inactivates MKK3/4/6/7.
model 4 filemodel 4 filemodel4 add p38MAPK itself activates the phosphatase of p38MAPK.
model 5 filemodel 5 filemodel5 add Erk2 directly activates the phosphatase of p38MAPK.
model 6 filemodel 6 filemodel6 add The combination of model 2 and model 4.
model 7 filemodel 7 filemodel7 add The combination of model 3 and model 5.
model 8 filemodel 8 filemodel8 add The combination of model 2 and model 5.
model 9 filemodel 9 filemodel9 add The combination of model 3 and model 4.
model 10 filemodel 10 filemodel10 remove(control) The activation process of Rac/Cdc42 by Vav2 is removed.

Supplemental Data 2 Snapshot of whole network on Cell Illustrator

EGFR_model21.png
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