Literature DB >> 17626066

Petri net modelling of biological networks.

Claudine Chaouiya1.   

Abstract

Mathematical modelling is increasingly used to get insights into the functioning of complex biological networks. In this context, Petri nets (PNs) have recently emerged as a promising tool among the various methods employed for the modelling and analysis of molecular networks. PNs come with a series of extensions, which allow different abstraction levels, from purely qualitative to more complex quantitative models. Noteworthily, each of these models preserves the underlying graph, which depicts the interactions between the biological components. This article intends to present the basics of the approach and to foster the potential role PNs could play in the development of the computational systems biology.

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Year:  2007        PMID: 17626066     DOI: 10.1093/bib/bbm029

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  76 in total

Review 1.  Systems immunology: a survey of modeling formalisms, applications and simulation tools.

Authors:  Vipin Narang; James Decraene; Shek-Yoon Wong; Bindu S Aiswarya; Andrew R Wasem; Shiang Rong Leong; Alexandre Gouaillard
Journal:  Immunol Res       Date:  2012-09       Impact factor: 2.829

2.  BioNetSim: a Petri net-based modeling tool for simulations of biochemical processes.

Authors:  Junhui Gao; Li Li; Xiaolin Wu; Dong-Qing Wei
Journal:  Protein Cell       Date:  2012-03-10       Impact factor: 14.870

3.  A proposal for augmenting biological model construction with a semi-intelligent computational modeling assistant.

Authors:  Scott Christley; Gary An
Journal:  Comput Math Organ Theory       Date:  2012-12       Impact factor: 2.023

Review 4.  Translational systems approaches to the biology of inflammation and healing.

Authors:  Yoram Vodovotz; Gregory Constantine; James Faeder; Qi Mi; Jonathan Rubin; John Bartels; Joydeep Sarkar; Robert H Squires; David O Okonkwo; Jörg Gerlach; Ruben Zamora; Shirley Luckhart; Bard Ermentrout; Gary An
Journal:  Immunopharmacol Immunotoxicol       Date:  2010-06       Impact factor: 2.730

Review 5.  At the biological modeling and simulation frontier.

Authors:  C Anthony Hunt; Glen E P Ropella; Tai Ning Lam; Jonathan Tang; Sean H J Kim; Jesse A Engelberg; Shahab Sheikh-Bahaei
Journal:  Pharm Res       Date:  2009-09-09       Impact factor: 4.200

6.  Mean square exponential and robust stability of stochastic discrete-time genetic regulatory networks with uncertainties.

Authors:  Qian Ye; Baotong Cui
Journal:  Cogn Neurodyn       Date:  2010-02-13       Impact factor: 5.082

7.  A model-driven methodology for exploring complex disease comorbidities applied to autism spectrum disorder and inflammatory bowel disease.

Authors:  Judith Somekh; Mor Peleg; Alal Eran; Itay Koren; Ariel Feiglin; Alik Demishtein; Ruth Shiloh; Monika Heiner; Sek Won Kong; Zvulun Elazar; Isaac Kohane
Journal:  J Biomed Inform       Date:  2016-08-10       Impact factor: 6.317

8.  Learning delayed influences of biological systems.

Authors:  Tony Ribeiro; Morgan Magnin; Katsumi Inoue; Chiaki Sakama
Journal:  Front Bioeng Biotechnol       Date:  2015-01-16

9.  Computational modeling of the EGFR network elucidates control mechanisms regulating signal dynamics.

Authors:  Dennis Y Q Wang; Luca Cardelli; Andrew Phillips; Nir Piterman; Jasmin Fisher
Journal:  BMC Syst Biol       Date:  2009-12-22

10.  Structural analysis to determine the core of hypoxia response network.

Authors:  Monika Heiner; K Sriram
Journal:  PLoS One       Date:  2010-01-19       Impact factor: 3.240

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