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Center-based Single-cell Models: An Approach to Multi-cellular Organization Based on a Conceptual Analogy to Colloidal Particles

  • Dirk Drasdo
Part of the Mathematics and Biosciences in Interaction book series (MBI)

Abstract

In this chapter we present a model framework for multi-cellular simulations which is built on conceptual analogies to colloidal particles. Cells are approximated as homogeneous isotropic elastic sticky objects, capable of migrating, growing, dividing and changing orientation. A cell is parameterized by biomechanical, cell-kinetic and cell-biological parameters. Each model parameter can in principle be determined experimentally. We show some simulation results for in-vitro systems and discuss the effect of model variants on simulated multi-cellular growth phenomena. The aim of this chapter is to provide an introduction and overview of the algorithms, technical concepts and the framework necessary to perform equivalent computational simulations with different model variants.

Keywords

Colloidal Particle Technical Concept Conceptual Analogy 3806T 6373M 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Birkhäuser Verlag Basel/Switzerland 2007

Authors and Affiliations

  • Dirk Drasdo
    • 1
    • 2
    • 3
  1. 1.RocquencourtFrench National Institute for Research in Computer Science and Control (INRIA)Le Chesnay CedexFrance
  2. 2.Mathematics Institute and Center for Systems BiologyUniversity of WarwickCoventryUK
  3. 3.Interdisciplinary Centre for BioinformaticsUniversity of LeipzigLeipzigGermany

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