Dynamical modeling and multi-experiment fitting with PottersWheel.

ABSTRACT:

Motivation

Modelers in Systems Biology need a flexible framework that allows them to easily create new dynamic models, investigate their properties and fit several experimental datasets simultaneously. Multi-experiment-fitting is a powerful approach to estimate parameter values, to check the validity of a given model, and to discriminate competing model hypotheses. It requires high-performance integration of ordinary differential equations and robust optimization.

Results

We here present the comprehensive modeling framework Potters-Wheel (PW) including novel functionalities to satisfy these requirements with strong emphasis on the inverse problem, i.e. data-based modeling of partially observed and noisy systems like signal transduction pathways and metabolic networks. PW is

SUBMITTER: Maiwald T 

PROVIDER: S-EPMC2530888 | biostudies-literature | 2008 Sep

REPOSITORIES: biostudies-literature