Literature DB >> 18726624

INDISIM-YEAST: an individual-based simulator on a website for experimenting and investigating diverse dynamics of yeast populations in liquid media.

M Ginovart1, J C Cañadas.   

Abstract

Simulation modelling can be used to capture and mimic real-world microbial systems that, unlike the real-world, can then be experimented upon as a new kind of experimental milieu. Individual-based models, in which individuals interact dynamically with each other as structural elements in the model world, exemplify this view of simulation modelling. These models are more difficult to analyze, understand and communicate than traditional analytical models. It is good practice to provide executable versions that perform simulation results. INDISIM-YEAST, developed to deal with yeast populations in liquid media, models the evolution of a set of yeasts by setting up rules of behavior for each individual cell according to its own biological regulations and characteristics. The aim of this work is to develop and present a website from which INDISIM-YEAST is accessible, and how to carry out yeast simulations to further the skills associated with the use of this individual-based simulator. A good and useful way to analyze this yeast simulator is to experiment and explore the manner in which it reacts to changes in parameter values, initial conditions or assumptions. The application results in a very versatile program that could be used in controlled simulation experiments via the Internet.

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Year:  2008        PMID: 18726624     DOI: 10.1007/s10295-008-0436-4

Source DB:  PubMed          Journal:  J Ind Microbiol Biotechnol        ISSN: 1367-5435            Impact factor:   3.346


  8 in total

1.  INDISIM, an individual-based discrete simulation model to study bacterial cultures.

Authors:  Marta Ginovart; Daniel López; Joaquim Valls
Journal:  J Theor Biol       Date:  2002-01-21       Impact factor: 2.691

Review 2.  The Virtual Cell: a software environment for computational cell biology.

Authors:  L M Loew; J C Schaff
Journal:  Trends Biotechnol       Date:  2001-10       Impact factor: 19.536

Review 3.  Whole-cell simulation: a grand challenge of the 21st century.

Authors:  M Tomita
Journal:  Trends Biotechnol       Date:  2001-06       Impact factor: 19.536

4.  Simulation as experiment: a philosophical reassessment for biological modeling.

Authors:  Steven L Peck
Journal:  Trends Ecol Evol       Date:  2004-10       Impact factor: 17.712

5.  BacSim, a simulator for individual-based modelling of bacterial colony growth.

Authors:  Jan-Ulrich Kreft; Ginger Booth; Julian W T Wimpenny
Journal:  Microbiology (Reading)       Date:  1998-12       Impact factor: 2.777

6.  Biochemistry by numbers: simulation of biochemical pathways with Gepasi 3.

Authors:  P Mendes
Journal:  Trends Biochem Sci       Date:  1997-09       Impact factor: 13.807

7.  In situ kinetic analysis of glyoxalase I and glyoxalase II in Saccharomyces cerevisiae.

Authors:  A M Martins; P Mendes; C Cordeiro; A P Freire
Journal:  Eur J Biochem       Date:  2001-07

8.  A rule-based approach to the modelling of bacterial ecosystems.

Authors:  C Vlachos; R C Paton; J R Saunders; Q H Wu
Journal:  Biosystems       Date:  2005-12-28       Impact factor: 1.973

  8 in total
  4 in total

1.  INDISIM-Denitrification, an individual-based model for study the denitrification process.

Authors:  Pablo Araujo-Granda; Anna Gras; Marta Ginovart; Vincent Moulton
Journal:  J Ind Microbiol Biotechnol       Date:  2019-11-05       Impact factor: 3.346

2.  Analysis of the effect of inoculum characteristics on the first stages of a growing yeast population in beer fermentations by means of an individual-based model.

Authors:  M Ginovart; C Prats; X Portell; M Silbert
Journal:  J Ind Microbiol Biotechnol       Date:  2010-09-03       Impact factor: 3.346

3.  MbT-Tool: An open-access tool based on Thermodynamic Electron Equivalents Model to obtain microbial-metabolic reactions to be used in biotechnological process.

Authors:  Pablo Granda Araujo; Anna Gras; Marta Ginovart
Journal:  Comput Struct Biotechnol J       Date:  2016-08-26       Impact factor: 7.271

4.  Age-correlated stress resistance improves fitness of yeast: support from agent-based simulations.

Authors:  Ferdi L Hellweger; Neil D Fredrick; John A Berges
Journal:  BMC Syst Biol       Date:  2014-02-15
  4 in total

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