Paper Info
Title
A Nonmonotonic Logical Approach For Modelling And Revising Metabolic Networks
Abstract
This paper describes a new logic-based approach for representing and reasoning about metabolic networks. First it shows how biological pathways can be elegantly represented in a logic programming formalism able to model full chemical reactions with substrates and products in different cell compartments, and which are catalysed by iso-enzymes or enzyme-complexes that are subject to inhibitory feedbacks. Then it shows how a nonmonotonic reasoning system called XHAIL can be used as a practical method for learning and revising such metabolic networks from observational data. Preliminary results are described in which the approach is validated on a state-of-the-art model of Aromatic Amino Acid biosynthesis.
Year
DOI
Venue
2009
10.1109/CISIS.2009.175
CISIS: 2009 INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS, VOLS 1 AND 2
Keywords
Field
DocType
metabolic network,feedback,nonmonotonic logic,chemical reactions,biology,cognition,nonmonotonic reasoning,amino acids,biochemistry,intelligent networks,logic programming,computer science,competitive intelligence,chemical reaction,computational modeling,enzyme
Logical approach,Computer science,Theoretical computer science,Non-monotonic logic,Artificial intelligence,Formalism (philosophy),Logic programming
Conference
Citations 
PageRank 
References 
3
0.43
16
Authors
3
Name
Order
Citations
PageRank
Oliver Ray117113.02
Ken E. Whelan2341.11
Ross D. King31774194.85