Name
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/CISIS.2010.184 | Complex, Intelligent and Software Intensive Systems |
Keywords | Field | DocType |
metabolic network,underlying network,experimental observation,logic-based steady-state analysis,initial metabolic model,qualitative logic-based method,mutual inhibition,metabolic cycle,metabolic networks,nonmonotonic logic programming setting,individual substrate,steady-state analysis,biochemistry,semantics,nonmonotonic logic,logic programming,steady state,steady state analysis,common sense reasoning | Metabolic Model,Computer science,Commonsense reasoning,Theoretical computer science,Non-monotonic logic,Artificial intelligence,Logic programming,Steady state,Semantics | Conference |
ISBN | Citations | PageRank |
978-1-4244-5917-9 | 12 | 0.58 |
References | Authors | |
15 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Oliver Ray | 1 | 171 | 13.02 |
| Ken Whelan | 2 | 17 | 1.03 |
| Ross D. King | 3 | 1774 | 194.85 |