Literature DB >> 8953209

Complexity, communication between cells, and identifying the functional components of living systems: some observations.

D C Mikulecky1.   

Abstract

The concept of 'complexity' has become very important in theoretical biology. It is a many faceted concept and too new and ill defined to have a universally accepted meaning. This review examines the development of this concept from the point of view of its usefulness as a criteria for the study of living systems to see what it has to offer as a new approach. In particular, one definition of complexity has been put forth which has the necessary precision and rigor to be considered as a useful categorization of systems, especially as it pertains to those we call 'living'. This definition, due to Robert Rosen, has been developed in a number of works and involves some deep new concepts about the way we view systems. In particular, it focuses on the way we view the world and actually practice science through the use of the modelling relation. This mathematical object models the process by which we assign meaning to the world we perceive. By using the modelling relation, it is possible to identify the subjective nature of our practices and deal with this issue explicitly. By so doing, it becomes clear that our notion of complexity and especially its most popular manifestations, is in large part a product of the historical processes which lead to the present state of scientific epistemology. In particular, it is a reaction to the reductionist/mechanistic view of nature which can be termed the 'Newtonian Paradigm'. This approach to epistemology has dominated for so that its use as a model has become implicit in most of what we do in and out of science. The alternative to this approach is examined and related to the special definition of complexity given by Rosen. Some historical examples are used to emphasize the dependence of our view of what is complex in a popular sense on the ever changing state of our knowledge. The role of some popular concepts such as chaotic dynamics are examined in this context. The fields of artificial life and related areas are also viewed from the perspective of this rigorous view of complexity and found lacking. The notion that in some way life exists 'at the edge of chaos' is examined from the perspective of the second law of thermodynamics given by Schneider and Kay. Finally, the casual elements in complex systems are explored in relation to complexity. Rosen has shown that a clear difference in causal relations exists between complex and simple systems and that this difference leads to a uniquely useful definition of what we mean by 'living'. Rosen makes it very clear that the class of systems which are complex is a much larger class than those which we call living. For that reason, the focus of this review will be on complexity as a stepping stone towards the deeper question of what makes a system alive.

Mesh:

Year:  1996        PMID: 8953209     DOI: 10.1007/bf00046527

Source DB:  PubMed          Journal:  Acta Biotheor        ISSN: 0001-5342            Impact factor:   1.774


  11 in total

1.  Thermodynamic analysis of the permeability of biological membranes to non-electrolytes.

Authors:  O KEDEM; A KATCHALSKY
Journal:  Biochim Biophys Acta       Date:  1958-02

2.  Exploration of apical sodium transport mechanisms in an epithelial model by network thermodynamic simulation of the effect of mucosal sodium depletion: II. An apical sodium channel and amiloride blocking.

Authors:  E Mintz; S R Thomas; D C Mikulecky
Journal:  J Theor Biol       Date:  1986-11-07       Impact factor: 2.691

3.  Exploration of apical sodium transport mechanisms in an epithelial model by network thermodynamic simulation of the effect of mucosal sodium depletion: I. Comparison of three different apical sodium permeability expressions.

Authors:  E Mintz; S R Thomas; D C Mikulecky
Journal:  J Theor Biol       Date:  1986-11-07       Impact factor: 2.691

4.  Network thermodynamic analysis and stimulation of isotonic solute-coupled volume flow in leaky epithelia: an example of the use of network theory to provide the qualitative aspects of a complex system and its verification by stimulation.

Authors:  M L Fidelman; D C Mikulecky
Journal:  J Theor Biol       Date:  1988-01-07       Impact factor: 2.691

5.  Computing with neural circuits: a model.

Authors:  J J Hopfield; D W Tank
Journal:  Science       Date:  1986-08-08       Impact factor: 47.728

Review 6.  Network thermodynamics: dynamic modelling of biophysical systems.

Authors:  G F Oster; A S Perelson; A Katchalsky
Journal:  Q Rev Biophys       Date:  1973-02       Impact factor: 5.318

7.  Neural networks and physical systems with emergent collective computational abilities.

Authors:  J J Hopfield
Journal:  Proc Natl Acad Sci U S A       Date:  1982-04       Impact factor: 11.205

8.  A network thermodynamic model of salt and water flow across the kidney proximal tubule.

Authors:  S R Thomas; D C Mikulecky
Journal:  Am J Physiol       Date:  1978-12

9.  A modified neural network model of tumor cell interactions and subpopulation dynamics.

Authors:  J A Prideaux; D C Mikulecky; A M Clarke; J L Ware
Journal:  Invasion Metastasis       Date:  1993

10.  The coupling of an enzymatic reaction to transmembrane flow of electric current in a synthetic "active transport" system.

Authors:  R Blumenthal; S R Caplan; O Kedem
Journal:  Biophys J       Date:  2008-12-31       Impact factor: 4.033

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  2 in total

Review 1.  Nonlinear systems in medicine.

Authors:  John P Higgins
Journal:  Yale J Biol Med       Date:  2002 Sep-Dec

2.  The RXFP3 receptor is functionally associated with cellular responses to oxidative stress and DNA damage.

Authors:  Jaana van Gastel; Hanne Leysen; Paula Santos-Otte; Jhana O Hendrickx; Abdelkrim Azmi; Bronwen Martin; Stuart Maudsley
Journal:  Aging (Albany NY)       Date:  2019-12-03       Impact factor: 5.682

  2 in total

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