Dynamic Biological Organization: Fundamentals as Applied to Cellular Systems

ISBN-13: 9789401064620 / Angielski / Miękka / 2012 / 559 str.

Miguel A. Aon; S. Cortassa

Opis

Dynamic Biological Organization is a fascinating account of the living organisms as dynamic systems, based on the concept that the spatio-temporal coherence of events within a living system result from the intrinsic dynamics of the processes taking place within that sysem. The authors of this important work, Miguel Aon and Sonia Cortassa have travelled widely to work in some of the leading research laboratories to accumulate a large information base on which to assemble this book. Taking a transdisciplinary approach, the authors draw on work at the interface of biochemistry, genetics, physiology, thermodynamics, kinetics and biomathematics, using mathematical models throughout to corroborate and analyze the biological complexity presented. Emphasizing biological processes occuring at the cellular level. Dynamic Biological Organization gives exciting insights into the experimental and theoretical applications of modern scientific paradigms to fundamental biological processes.

Spis treści

Dynamic organization. General concepts. Dynamic organization in cellular systems. Rhythms as a fundamental property of biological systems. Symmetry in dynamic biological organization. Dynamic organization in biologically oriented artificial systems. Living cells under the perspective of dynamic organization. Supramolecular structure and enzyme catalysis: the groundplan of living cells. Spatio-temporal regulation of glycolysis and oxidative phosphorylation in vivo. About the dynamic behaviour of microorganisms. Dynamics of cell growth and division. Spatio-temporal coordination of cellular energetics and metabolism during development. Cell growth and differentiation from the perspective of dynamics and thermodynamics of cellular and subcellular processes. Dynamic coupling and spatio-temporal coherence in cellular systems. Conclusions and outlook. Models, facts and biological complexity.