Literature DB >> 23715982

From a biological hypothesis to the construction of a mathematical model.

David Cohen1, Inna Kuperstein, Emmanuel Barillot, Andrei Zinovyev, Laurence Calzone.   

Abstract

Mathematical models serve to explain complex biological phenomena and provide predictions that can be tested experimentally. They can provide plausible scenarios of a complex biological behavior when intuition is not sufficient anymore. The process from a biological hypothesis to a mathematical model might be challenging for biologists that are not familiar with mathematical modeling. In this chapter we discuss a possible workflow that describes the steps to be taken starting from a biological hypothesis on a biochemical cellular mechanism to the construction of a mathematical model using the appropriate formalism. An important part of this workflow is formalization of biological knowledge, which can be facilitated by existing tools and standards developed by the systems biology community. This chapter aims at introducing modeling to experts in molecular biology that would like to convert their hypotheses into mathematical models.

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Year:  2013        PMID: 23715982     DOI: 10.1007/978-1-62703-450-0_6

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  4 in total

1.  Potential Anticancer Mechanisms of a Novel EGFR/DNA-Targeting Combi-Molecule (JDF12) against DU145 Prostate Cancer Cells: An iTRAQ-Based Proteomic Analysis.

Authors:  Haofeng Zheng; Guancan Liang; Yanxiong Chen; Sijie Lin; Wei Liu; Youqiang Fang
Journal:  Biomed Res Int       Date:  2017-10-15       Impact factor: 3.411

2.  Signalling maps in cancer research: construction and data analysis.

Authors:  Maria Kondratova; Nicolas Sompairac; Emmanuel Barillot; Andrei Zinovyev; Inna Kuperstein
Journal:  Database (Oxford)       Date:  2018-01-01       Impact factor: 3.451

Review 3.  UPMaBoSS: A Novel Framework for Dynamic Cell Population Modeling.

Authors:  Gautier Stoll; Aurélien Naldi; Vincent Noël; Eric Viara; Emmanuel Barillot; Guido Kroemer; Denis Thieffry; Laurence Calzone
Journal:  Front Mol Biosci       Date:  2022-03-02

Review 4.  Systems biology approaches to develop innovative strategies for lung cancer therapy.

Authors:  K Viktorsson; R Lewensohn; B Zhivotovsky
Journal:  Cell Death Dis       Date:  2014-05-29       Impact factor: 8.469

  4 in total

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