projects
data structures and software dependability
computer science department
brandenburg university of technology cottbus - senftenberg
NoPain – The Nociceptor Pain Model
Funding Number: FKZ0316177E
latest update: March 23, 2019, at 02:04 PM
Project description
- This project applies established mathematical models of signalling switches involved in pain sensitisation, optimises and expands them by reflection on molecular, cellular as well as animal experiments, to finally apply their predictive power to humans enabling a "mechanism-based" pain therapy.
- This project involves 7 teams, one of them at the BTU Cottbus, chaired by Prof. Heiner. In this team, the objective is to apply qualitative, stochastic, and continuous Petri nets to modeling and analysis of pain switches.
- duration: January 2013 - December 2015
Methodology
In the BTU team, Petri nets are applied to modeling and analysis of the nociceptor pain model, which allow the application of powerful analysis techniques ranging from graph theory, linear algebra via model checking to simulation methods. The Petri net formalism is extremely powerful for modelling the nociception network because it can represent different mechanisms and data types, like the activity of extracellular mediators, signal transducers, intracellular second messengers including their spatial distribution in the cell or tissue, effectors such as ion channels, and membrane potential changes to even subjectively graded parameters like pain in a time-resolved manner.
Project Partners
Clinician groups
Experimental groups
- Prof. Dr. Tim Hucho (coordinator)
- Prof. Dr. Friedrich Herberg
- Dr. Harald Seitz
Modelling groups
Related material
- Report for Cottbus meeting (February 2015)
- Report for Berlin meeting (September 2014)
- Report for Potsdam meeting (May 2014)
- Report for Kassel meeting (January 2014)
- Report for Mainz meeting (September 2013)
- Report for Berlin meeting (May 2013)
- Report for Kickoff meeting (February 2013)