Logic-based steady-state analysis and revision of metabolic networks with inhibition

Oliver Ray; Ken Whelan; Ross King

doi:10.1109/CISIS.2010.184

Logic-based steady-state analysis and revision of metabolic networks with inhibition

Oliver Ray
, Ken Whelan
, Ross King

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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. © 2010 IEEE.

Original language	English
Title of host publication	CISIS 2010 - The 4th International Conference on Complex, Intelligent and Software Intensive Systems
Pages	661-666
Number of pages	6
ISBN (Electronic)	978-1-4244-5918-6
DOIs	https://doi.org/10.1109/CISIS.2010.184
Publication status	Published - 2010
Event	2010 International Conference on Complex, Intelligent and Software Intensive Systems - Krakow, Poland Duration: 15 Feb 2010 → 18 Feb 2010

Conference

Conference	2010 International Conference on Complex, Intelligent and Software Intensive Systems
Country/Territory	Poland
City	Krakow
Period	15/02/10 → 18/02/10

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10.1109/CISIS.2010.184

Cite this

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title = "Logic-based steady-state analysis and revision of metabolic networks with inhibition",

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. {\textcopyright} 2010 IEEE.",

author = "Oliver Ray and Ken Whelan and Ross King",

year = "2010",

doi = "10.1109/CISIS.2010.184",

language = "English",

isbn = "978-1-4244-5917-9",

pages = "661--666",

booktitle = "CISIS 2010 - The 4th International Conference on Complex, Intelligent and Software Intensive Systems",

note = "2010 International Conference on Complex, Intelligent and Software Intensive Systems ; Conference date: 15-02-2010 Through 18-02-2010",

}

Ray, O, Whelan, K & King, R 2010, Logic-based steady-state analysis and revision of metabolic networks with inhibition. in CISIS 2010 - The 4th International Conference on Complex, Intelligent and Software Intensive Systems. pp. 661-666, 2010 International Conference on Complex, Intelligent and Software Intensive Systems, Krakow, Poland, 15/02/10. https://doi.org/10.1109/CISIS.2010.184

TY - GEN

T1 - Logic-based steady-state analysis and revision of metabolic networks with inhibition

AU - Ray, Oliver

AU - Whelan, Ken

AU - King, Ross

PY - 2010

Y1 - 2010

N2 - 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. © 2010 IEEE.

AB - 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. © 2010 IEEE.

U2 - 10.1109/CISIS.2010.184

DO - 10.1109/CISIS.2010.184

M3 - Conference contribution

SN - 978-1-4244-5917-9

SP - 661

EP - 666

BT - CISIS 2010 - The 4th International Conference on Complex, Intelligent and Software Intensive Systems

T2 - 2010 International Conference on Complex, Intelligent and Software Intensive Systems

Y2 - 15 February 2010 through 18 February 2010

ER -

Logic-based steady-state analysis and revision of metabolic networks with inhibition

Abstract

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