Literature DB >> 18468563

Logic models of pathway biology.

Steven Watterson1, Stephen Marshall, Peter Ghazal.   

Abstract

Living systems seamlessly perform complex information processing and control tasks using combinatorially complex sets of biochemical reactions. Drugs that therapeutically modulate the biological processes of disease are developed using single protein target strategies, often with limited knowledge of the complex underlying role of the targets. Approaches that attempt to consider the combinatorial complexity from the outset might help identify any causal relationships that could lead to undesirable or adverse side effects earlier in the development pipeline. Such approaches, in particular logic methodologies, might also aid pathway selection and multiple target strategies during the drug discovery phase. Here, we describe the use of logic as a tractable and informative approach to modelling biological pathways that can allow us to improve our understanding of the dependencies in complex biological processes.

Mesh:

Year:  2008        PMID: 18468563     DOI: 10.1016/j.drudis.2008.03.019

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  19 in total

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2.  Construction of a large scale integrated map of macrophage pathogen recognition and effector systems.

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4.  Digital clocks: simple Boolean models can quantitatively describe circadian systems.

Authors:  Ozgur E Akman; Steven Watterson; Andrew Parton; Nigel Binns; Andrew J Millar; Peter Ghazal
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5.  Integrating literature-constrained and data-driven inference of signalling networks.

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6.  Training signaling pathway maps to biochemical data with constrained fuzzy logic: quantitative analysis of liver cell responses to inflammatory stimuli.

Authors:  Melody K Morris; Julio Saez-Rodriguez; David C Clarke; Peter K Sorger; Douglas A Lauffenburger
Journal:  PLoS Comput Biol       Date:  2011-03-03       Impact factor: 4.475

7.  On optimal control policy for probabilistic Boolean network: a state reduction approach.

Authors:  Xi Chen; Hao Jiang; Yushan Qiu; Wai-Ki Ching
Journal:  BMC Syst Biol       Date:  2012-07-16

8.  CellNOptR: a flexible toolkit to train protein signaling networks to data using multiple logic formalisms.

Authors:  Camille Terfve; Thomas Cokelaer; David Henriques; Aidan MacNamara; Emanuel Goncalves; Melody K Morris; Martijn van Iersel; Douglas A Lauffenburger; Julio Saez-Rodriguez
Journal:  BMC Syst Biol       Date:  2012-10-18

9.  Non Linear Programming (NLP) formulation for quantitative modeling of protein signal transduction pathways.

Authors:  Alexander Mitsos; Ioannis N Melas; Melody K Morris; Julio Saez-Rodriguez; Douglas A Lauffenburger; Leonidas G Alexopoulos
Journal:  PLoS One       Date:  2012-11-30       Impact factor: 3.240

10.  Logic modeling and the ridiculome under the rug.

Authors:  Michael L Blinov; Ion I Moraru
Journal:  BMC Biol       Date:  2012-11-21       Impact factor: 7.431

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