Name
Title | ||
|---|---|---|
Automatic revision of metabolic networks through logical analysis of experimental data |
Abstract | ||
|---|---|---|
This paper presents a nonmonotonic ILP approach for the automatic revision of metabolic networks through the logical analysis of experimental data. The method extends previous work in two respects: by suggesting revisions that involve both the addition and removal of information; and by suggesting revisions that involve combinations of gene functions, enzyme inhibitions, and metabolic reactions. Our proposal is based on a new declarative model of metabolism expressed in a nonmonotonic logic programming formalism. With respect to this model, a mixture of abductive and inductive inference is used to compute a set of minimal revisions needed to make a given network consistent with some observed data. In this way, we describe how a reasoning system called XHAIL was able to correctly revise a state-of-the-art metabolic pathway in the light of real-world experimental data acquired by an autonomous laboratory platform called the Robot Scientist. |
Year | Venue | Keywords |
|---|---|---|
2009 | ILP | metabolic reaction,metabolic network,observed data,automatic revision,nonmonotonic logic programming formalism,state-of-the-art metabolic pathway,real-world experimental data,experimental data,logical analysis,robot scientist,new declarative model,nonmonotonic ilp approach,inductive inference,metabolic pathway,nonmonotonic logic |
Field | DocType | Volume |
Inductive reasoning,Experimental data,Computer science,Metabolic network,Theoretical computer science,Non-monotonic logic,Artificial intelligence,Formalism (philosophy),Robot,Reasoning system,Machine learning,Logical analysis | Conference | 5989 |
ISSN | ISBN | Citations |
0302-9743 | 3-642-13839-X | 5 |
PageRank | References | Authors |
0.45 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Oliver Ray | 1 | 171 | 13.02 |
| Ken Whelan | 2 | 17 | 1.03 |
| Ross D. King | 3 | 1774 | 194.85 |