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The (Mathematical) Modeling Process in Biosciences.

Nestor V Torres1, Guido Santos1

  • 1Systems Biology and Mathematical Modelling Group, Departamento de Bioquímica, Microbiología, Biología Celular y Genética, Sección de Biología de la Facultad de Ciencias, Universidad de La LagunaSan Cristóbal de La Laguna, Spain; Instituto de Tecnología Biomédica, CIBICANSan Cristóbal de La Laguna, Spain.

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Summary
This summary is machine-generated.

This study presents a framework for biological modeling in systems biology. It details the process of creating and analyzing mathematical models of biological systems, offering rules for effective modeling.

Keywords:
biological systembiosciencesmathematical modelmodelsystems biology

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Area of Science:

  • Systems Biology
  • Computational Biology
  • Biosciences

Background:

  • Biological research increasingly relies on understanding complex systems.
  • Traditional approaches often lack the integrative power to study whole biological systems.

Purpose of the Study:

  • To introduce a general framework for modeling in biosciences.
  • To define key concepts like biological systems and mathematical models.
  • To outline the stages of biological system modeling and analysis.

Main Methods:

  • Defining biological systems and mathematical models.
  • Describing the three-stage modeling process: conceptualization, mathematical formalization, and analysis.
  • Analyzing the strengths and weaknesses of the modeling process.

Main Results:

  • A structured approach to modeling biological systems is presented.
  • Key procedures for formalizing and analyzing biological problems are outlined.
  • A set of rules and considerations for effective biological modeling are provided.

Conclusions:

  • Modeling is crucial for advancing systems biology.
  • Interdisciplinary collaboration and specific training are essential for successful biological modeling.
  • Current challenges in biology are being addressed through advanced modeling techniques.