Nonequilibrium physics: From complex fluids to biological systems I. Instabilities and pattern formation

2007 ◽  
Vol 447 (3-6) ◽  
pp. 67-68 ◽  
Author(s):  
Jaume Casademunt
Keyword(s):  
Pattern Formation ◽  
Complex Fluids ◽  
Biological Systems ◽  
Nonequilibrium Physics

The Conformation of Flexible Membranes

1991 ◽  
Vol 248 ◽  
Author(s):  
Reinhard Lipowsky ◽  
Joanna Cook-RÖder
Keyword(s):  
Lipid Bilayers ◽  
Complex Fluids ◽  
Biological Systems ◽  
Theoretical Work ◽  
Conformational Behavior ◽  
Structural Element ◽  
Recent Theoretical Work ◽  
Flexible Membranes

AbstractMembranes such as lipid bilayers are highly flexible surfaces which determine the architecture of biological systems and provide a basic structural element for the mesophases of complex fluids1. Two aspects of their conformational behavior will be considered. First, the morphology of vesicles and membranes is briefly reviewed. Then, recent theoretical work on adhesion (or cohesion) phenomena which involve whole bunches of membranes will be discussed.

scholarly journals Turing's model for biological pattern formation and the robustness problem

2012 ◽  
Vol 2 (4) ◽  
pp. 487-496 ◽  
Author(s):  
Philip K. Maini ◽  
Thomas E. Woolley ◽  
Ruth E. Baker ◽  
Eamonn A. Gaffney ◽  
S. Seirin Lee
Keyword(s):  
Developmental Biology ◽  
Reaction Time ◽  
Pattern Formation ◽  
Biological Systems ◽  
Theoretical Models ◽  
The Face ◽  
Biological Pattern Formation ◽  
Biological Heterogeneity ◽  
Vast Range ◽  
Fertilized Egg

One of the fundamental questions in developmental biology is how the vast range of pattern and structure we observe in nature emerges from an almost uniformly homogeneous fertilized egg. In particular, the mechanisms by which biological systems maintain robustness, despite being subject to numerous sources of noise, are shrouded in mystery. Postulating plausible theoretical models of biological heterogeneity is not only difficult, but it is also further complicated by the problem of generating robustness, i.e. once we can generate a pattern, how do we ensure that this pattern is consistently reproducible in the face of perturbations to the domain, reaction time scale, boundary conditions and so forth. In this paper, not only do we review the basic properties of Turing's theory, we highlight the successes and pitfalls of using it as a model for biological systems, and discuss emerging developments in the area.

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