Abstract
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 |
|---|---|
| Original language | English |
| 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 note
Other page information: 661-666Conference 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