English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  SBML-PET: a Systems Biology Markup Language-based parameter estimation tool

Zi, Z., & Klipp, E. (2006). SBML-PET: a Systems Biology Markup Language-based parameter estimation tool. Bioinformatics, 22(21), 2704-2705. doi:10.1093/bioinformatics/btl443.

Item is

Files

show Files
hide Files
:
Zi.pdf (Any fulltext), 57KB
Name:
Zi.pdf
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
eDoc_access: PUBLIC
License:
-

Locators

show

Creators

show
hide
 Creators:
Zi, Zhike1, Author           
Klipp, Edda2, Author           
Affiliations:
1Cell Signaling Dynamics (Zhike Zi), Independent Junior Research Groups (OWL), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_2117284              
2Independent Junior Research Groups (OWL), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433554              

Content

show
hide
Free keywords: -
 Abstract: The estimation of model parameters from experimental data remains a bottleneck for a major breakthrough in systems biology. We present a Systems Biology Markup Language (SBML) based Parameter Estimation Tool (SBML-PET). The tool is designed to enable parameter estimation for biological models including signaling pathways, gene regulation networks and metabolic pathways. SBML-PET supports import and export of the models in the SBML format. It can estimate the parameters by fitting a variety of experimental data from different experimental conditions. SBML-PET has a unique feature of supporting event definition in the SMBL model. SBML models can also be simulated in SBML-PET. Stochastic Ranking Evolution Strategy (SRES) is incorporated in SBML-PET for parameter estimation jobs. A classic ODE Solver called ODEPACK is used to solve the Ordinary Differential Equation (ODE) system.

Details

show
hide
Language(s): eng - English
 Dates: 2006-11
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 313076
DOI: 10.1093/bioinformatics/btl443
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Bioinformatics
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 22 (21) Sequence Number: - Start / End Page: 2704 - 2705 Identifier: ISSN: 1367-4803