Disordered systems and biological models
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Disordered systems and biological models proceedings of the Workshop on Disordered Systems and Biological Modelling, Bogota, Colombia, September 7-18, 1987 by Workshop on Disordered Systems and Biological Modelling (1st 1987 BogotaМЃ, Colombia)

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Published by World Scientific in Singapore, New Jersey .
Written in English

Subjects:

  • Biological systems -- Congresses.,
  • Biological models -- Congresses.,
  • Order-disorder models -- Congresses.

Book details:

Edition Notes

Includes bibliographical references.

Statementedited by L. Peliti.
SeriesCIF series -- vol. 14.
ContributionsPeliti, L. 1948-
Classifications
LC ClassificationsQH313 .W67 1987, QH313 .W67 1987
The Physical Object
Paginationvii, 200 p. :
Number of Pages200
ID Numbers
Open LibraryOL17990853M
ISBN 109971509482
LC Control Number89009098

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Get this from a library! Disordered systems and biological models: proceedings of the Workshop on Disordered Systems and Biological Modelling, Bogota, Colombia, September 7 . Vichniac G.Y. () Cellular Automata Models of Disorder And Organization. In: Bienenstock E., Soulié F.F., Weisbuch G. (eds) Disordered Systems and Biological Organization. NATO ASI Series (Series F: Computer and Systems Sciences), vol Cited by: The NATO workshop on Disordered Systems and Biological Organization was attended, in march , by 65 scientists representing a large variety of fields: Mathematics, Computer Science, Physics and Bio. The NATO workshop on Disordered Systems and Biological Organization was attended, in march , by 65 scientists representing a large variety of fields: Mathematics, Computer Science, Physics and Biology. It was the purpose of this interdisciplinary workshop to .

"Proceedings of the NATO Advanced Research Workshop on Disordered Systems and Biological Organization held at Les Houches, February March 8, "--Title page verso. Description: xxi, pages: illustrations ; 25 cm.   This book is a compilation of the presentations given at the Fourth International Symposium on Fractals in Biology and Medicine held in Ascona, Switzerland on - th 13 March and was dedicated to Professor Benoît Mandelbrot in honour of his 80 birthday. The Symposium was the fourth of a series that originated back in , always in Ascona. This book collects several works in this direction, giving an overview of some models and theories, which are useful for the study and analysis of complex biological and physical systems. It can provide a good guidance for physicists with interest in biology, applied research scientists and postgraduate by: 1. Among the many areas explored are the general properties of the one-body models frequently used and descriptions of selected one-dimensional problems, including closed dynamical equations; these are then used to thoroughly explore the density of states for several systems. the one-body approximation in the theory of disordered systems. It Format: Paperback.

Modelling biological systems is a significant task of systems biology and mathematical biology. Computational systems biology aims to develop and use efficient algorithms, data structures, visualization and communication tools with the goal of computer modelling of biological systems. It involves the use of computer simulations of biological systems, including cellular subsystems . Abstract. The best understanding of complex biological systems ultimately comes from details of the underlying atomic structures within it. In the absence of known structures of all protein complexes and interactions in a system, structural bioinformatics or modeling fill an important niche in providing predicted mechanistic information which can guide experiments, aid the . IDRs enable a wide variety of biological processes via mechanisms that are distinct from their structured counterparts. Broad analysis relating protein function to intrinsic disorder reveals a central role for IDRs in molecular recognition and cellular , structured and disordered regions work in concert, as in the case of the lac by: 1.   Abstract: We show that, in contrast to classical random graph models, many real-world complex systems -- including a variety of biological regulatory networks and technological networks such as the internet -- spontaneously self-organize to a richly symmetric state. We consider the organizational origins of symmetry and find that growth with preferential Cited by: 8.