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WebMaBoSS: A Web Interface for Simulating Boolean Models Stochastically.

Vincent Noël1,2,3, Marco Ruscone1,2,3, Gautier Stoll4

  • 1Institut Curie, PSL Research University, Paris, France.

Frontiers in Molecular Biosciences
|December 10, 2021
PubMed
Summary
This summary is machine-generated.

WebMaBoSS simplifies the use and analysis of Boolean models for intracellular processes. This web interface enables easy simulation, visualization, and analysis of biological models without coding expertise.

Keywords:
Boolean modellingSBML-qualautomatic mutationssensitivity analysisstochastic simulationweb interface

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Area of Science:

  • Systems Biology
  • Computational Biology
  • Bioinformatics

Background:

  • Boolean models offer a simplified representation of complex biological systems.
  • Existing tools for Boolean model simulation, like MaBoSS, can be non-intuitive for non-experts.
  • Integrating models from databases into simulation tools often requires compatibility adjustments.

Purpose of the Study:

  • To develop an intuitive web interface, WebMaBoSS, for creating, simulating, and analyzing Boolean models.
  • To bridge the gap between Boolean and continuous formalisms by providing semi-quantitative results.
  • To simplify the use of the MaBoSS software for researchers without extensive modeling or coding experience.

Main Methods:

  • WebMaBoSS utilizes the MaBoSS software for stochastic simulation of Boolean models via continuous time Markov processes.
  • The platform supports direct import of models from databases (e.g., Cell Collective, BioModels) and local storage.
  • Interactive visualization, data export, and advanced analyses like mutant screening and parameter sensitivity are integrated.

Main Results:

  • WebMaBoSS provides an accessible platform for users to perform complex Boolean model simulations and analyses.
  • The interface facilitates easy model creation, modification, storage, and retrieval.
  • Interactive results visualization and exportable figures enhance the understanding of model dynamics.

Conclusions:

  • WebMaBoSS democratizes the use of Boolean modeling in systems biology by lowering the technical barrier.
  • The tool enhances the accessibility and utility of existing biological models for a wider research community.
  • WebMaBoSS is an open-source, web-based solution for efficient Boolean model analysis and insight generation.