Literature DB >> 15245801

Model validation of biological pathways using Petri nets--demonstrated for apoptosis.

Monika Heiner1, Ina Koch, Jürgen Will.   

Abstract

This paper demonstrates the first steps of a new integrating methodology to develop and analyse models of biological pathways in a systematic manner using well established Petri net technologies. The whole approach comprises step-wise modelling, animation, model validation as well as qualitative and quantitative analysis for behaviour prediction. In this paper, the first phase is addressed how to develop and validate a qualitative model, which might be extended afterwards to a quantitative model. The example used in this paper is devoted to apoptosis, the genetically programmed cell death. Apoptosis is an essential part of normal physiology for most metazoan species. Disturbances in the apoptotic process could lead to several diseases. The signal transduction pathway of apoptosis includes highly complex mechanisms to control and execute programmed cell death. This paper explains how to model and validate this pathway using qualitative Petri nets. The results provide a mathematically unique and valid model enabling the confirmation of known properties as well as new insights in this pathway.

Mesh:

Year:  2004        PMID: 15245801     DOI: 10.1016/j.biosystems.2004.03.003

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  30 in total

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Authors:  Richard J Orton; Oliver E Sturm; Vladislav Vyshemirsky; Muffy Calder; David R Gilbert; Walter Kolch
Journal:  Biochem J       Date:  2005-12-01       Impact factor: 3.857

2.  Modelling and simulation of signal transductions in an apoptosis pathway by using timed Petri nets.

Authors:  Chen Li; Qi-Wei Ge; Mitsuru Nakata; Hiroshi Matsuno; Satoru Miyano
Journal:  J Biosci       Date:  2007-01       Impact factor: 1.826

Review 3.  From individual Wnt pathways towards a Wnt signalling network.

Authors:  Hans A Kestler; Michael Kühl
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-04-12       Impact factor: 6.237

4.  Modeling reveals that dynamic regulation of c-FLIP levels determines cell-to-cell distribution of CD95-mediated apoptosis.

Authors:  Hannu T Toivonen; Annika Meinander; Tomoko Asaoka; Mia Westerlund; Frank Pettersson; Andrey Mikhailov; John E Eriksson; Henrik Saxén
Journal:  J Biol Chem       Date:  2011-02-15       Impact factor: 5.157

5.  Signaling networks in Leishmania macrophages deciphered through integrated systems biology: a mathematical modeling approach.

Authors:  Milsee Mol; Milind S Patole; Shailza Singh
Journal:  Syst Synth Biol       Date:  2013-07-04

6.  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

7.  PathText: a text mining integrator for biological pathway visualizations.

Authors:  Brian Kemper; Takuya Matsuzaki; Yukiko Matsuoka; Yoshimasa Tsuruoka; Hiroaki Kitano; Sophia Ananiadou; Jun'ichi Tsujii
Journal:  Bioinformatics       Date:  2010-06-15       Impact factor: 6.937

8.  Time-dependent structural transformation analysis to high-level Petri net model with active state transition diagram.

Authors:  Chen Li; Masao Nagasaki; Ayumu Saito; Satoru Miyano
Journal:  BMC Syst Biol       Date:  2010-04-01

9.  ON/OFF and beyond--a boolean model of apoptosis.

Authors:  Rebekka Schlatter; Kathrin Schmich; Ima Avalos Vizcarra; Peter Scheurich; Thomas Sauter; Christoph Borner; Michael Ederer; Irmgard Merfort; Oliver Sawodny
Journal:  PLoS Comput Biol       Date:  2009-12-11       Impact factor: 4.475

10.  Computational systems biology in cancer: modeling methods and applications.

Authors:  Wayne Materi; David S Wishart
Journal:  Gene Regul Syst Bio       Date:  2007-09-17
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