Dataset Information

Hatakeyama2003_MAPK

ABSTRACT: Figure4 and Figure5 can be simulated by Copasi. Figure4 can be simulated in MathSBML as well. There are some typos in the paper:K29=234, is it should k_29; Table2, reaction17, is there are "slash" missing in between the rate equation; reaction 33,"Akt-PI-PP" in the last term of denominator instead of "AktPI-P" . For plotting figure4, we create another extra parameter *_percent, and use assignment rule calculate percentage of each species. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

REANALYSIS of: BIOMD0000000010BIOMD0000000019BIOMD0000000048

REANALYSED by: BIOMD0000000441BIOMD0000000223BIOMD0000000440BIOMD0000000424BIOMD0000000049

OTHER RELATED OMICS DATASETS IN: S-EPMC1223496

SUBMITTER: Enuo He

PROVIDER: BIOMD0000000146 | BioModels | 2008-07-16

REPOSITORIES: BioModels

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	BIOMD0000000146?filename=BIOMD0000000146-biopax2.owl	Owl
	BIOMD0000000146?filename=BIOMD0000000146-biopax3.owl	Owl
	BIOMD0000000146?filename=BIOMD0000000146.m	Other
	BIOMD0000000146?filename=BIOMD0000000146.pdf	Pdf
	BIOMD0000000146?filename=BIOMD0000000146.png	Other

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Publications

Temperature dependence of the epidermal growth factor receptor signaling network can be accounted for by a kinetic model.

Moehren Gisela G Markevich Nick N Demin Oleg O Kiyatkin Anatoly A Goryanin Igor I Hoek Jan B JB Kholodenko Boris N BN

Biochemistry 20020101 1

Stimulation of isolated hepatocytes with epidermal growth factor (EGF) causes rapid tyrosine phosphorylation of the EGF receptor (EGFR) and adapter/target proteins, which was monitored with 1 and 2 s resolution at 37, 20, and 4 degrees C. The temporal responses detected for multiple signaling proteins involve both transient and sustained phosphorylation patterns, which change dramatically at low temperatures. To account quantitatively for complex responses, we employed a mechanistic kinetic mode ...[more]

PMID: 11772030

Publication: 1/2

Similar Datasets

Project description:BACKGROUND: Secondary structures are elements of great importance in structural biology, biochemistry and bioinformatics. They are broadly composed of two repetitive structures namely ?-helices and ?-sheets, apart from turns, and the rest is associated to coil. These repetitive secondary structures have specific and conserved biophysical and geometric properties. PolyProline II (PPII) helix is yet another interesting repetitive structure which is less frequent and not usually associated with stabilizing interactions. Recent studies have shown that PPII frequency is higher than expected, and they could have an important role in protein-protein interactions. METHODOLOGY/PRINCIPAL FINDINGS: A major factor that limits the study of PPII is that its assignment cannot be carried out with the most commonly used secondary structure assignment methods (SSAMs). The purpose of this work is to propose a PPII assignment methodology that can be defined in the frame of DSSP secondary structure assignment. Considering the ambiguity in PPII assignments by different methods, a consensus assignment strategy was utilized. To define the most consensual rule of PPII assignment, three SSAMs that can assign PPII, were compared and analyzed. The assignment rule was defined to have a maximum coverage of all assignments made by these SSAMs. Not many constraints were added to the assignment and only PPII helices of at least 2 residues length are defined. CONCLUSIONS/SIGNIFICANCE: The simple rules designed in this study for characterizing PPII conformation, lead to the assignment of 5% of all amino as PPII. Sequence-structure relationships associated with PPII, defined by the different SSAMs, underline few striking differences. A specific study of amino acid preferences in their N and C-cap regions was carried out as their solvent accessibility and contact patterns. Thus the assignment of PPII can be coupled with DSSP and thus opens a simple way for further analysis in this field.