This paper presents a qualitative logic-based method for the steady-state analysis and revision of metabolic networks with inhibition. The approach is able to automatically revise an initial metabolic model – through the addition and removal of whole reactions or individual substrates, products and inhibitors – in order to ensure the existence of a steady-state behaviour consistent with a set of experimental observations. We show how this can be done in a nonmonotonic logic programming setting and discuss the challenges that arise when metabolic cycles or mutual inhibitions occur in the underlying network.
|Translated title of the contribution||Logic-based Steady-State Analysis and Revision of Metabolic Networks with Inhibition|
|Title of host publication||2nd International Conference on Complex, Intelligent and Software Intensive Systems (from 3rd International Workshop on Intelligent Informatics in Biology and Medicine)|
|Publisher||IEEE Computer Society|
|Publication status||Published - 2010|
Bibliographical noteOther page information: 661-666
Conference Proceedings/Title of Journal: 2nd International Conference on Complex, Intelligent and Software Intensive Systems (from 3rd International Workshop on Intelligent Informatics in Biology and Medicine)
Other identifier: 2001157