Literature DB >> 15127893

Using mathematical models to help understand biological pattern formation.

Philip K Maini1.   

Abstract

One of the characteristics of biological systems is their ability to produce and sustain spatial and spatio-temporal pattern. Elucidating the underlying mechanisms responsible for this phenomenon has been the goal of much experimental and theoretical research. This paper illustrates this area of research by presenting some of the mathematical models that have been proposed to account for pattern formation in biology and considering their implications.

Mesh:

Year:  2004        PMID: 15127893     DOI: 10.1016/j.crvi.2003.05.006

Source DB:  PubMed          Journal:  C R Biol        ISSN: 1631-0691            Impact factor:   1.583


  6 in total

1.  Vignettes from the field of mathematical biology: the application of mathematics to biology and medicine.

Authors:  J D Murray
Journal:  Interface Focus       Date:  2012-02-01       Impact factor: 3.906

2.  Collective Space-Sensing Coordinates Pattern Scaling in Engineered Bacteria.

Authors:  Yangxiaolu Cao; Marc D Ryser; Stephen Payne; Bochong Li; Christopher V Rao; Lingchong You
Journal:  Cell       Date:  2016-04-21       Impact factor: 41.582

Review 3.  An ensemble approach to the evolution of complex systems.

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Journal:  J Biosci       Date:  2014-04       Impact factor: 1.826

Review 4.  Computational models for mechanics of morphogenesis.

Authors:  Matthew A Wyczalkowski; Zi Chen; Benjamen A Filas; Victor D Varner; Larry A Taber
Journal:  Birth Defects Res C Embryo Today       Date:  2012-06

Review 5.  Conceptual Foundations of Systems Biology Explaining Complex Cardiac Diseases.

Authors:  George E Louridas; Katerina G Lourida
Journal:  Healthcare (Basel)       Date:  2017-02-21

6.  Minimal Developmental Computation: A Causal Network Approach to Understand Morphogenetic Pattern Formation.

Authors:  Santosh Manicka; Michael Levin
Journal:  Entropy (Basel)       Date:  2022-01-10       Impact factor: 2.524

  6 in total

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