Supramolecular Enzyme Organization: Quaternary Structure and Beyond provides a comprehensive discussion of enzyme interactions. It attempts to place conceptually related phenomena in a common perspective by first scrutinizing enzyme interactions at the quaternary level and then moving on towards higher orders of organization. The book begins with a discussion of the hierarchy of enzymes, covering the structure of monomeric enzymes, enzyme structures beyond the monomeric stage, and protein-protein interactions. Separate chapters cover the chemistry of protein associations; the quaternary structure of enzymes; multienzyme systems; multienzyme complexes and conjugates; the association of enzymes with cellular structures; and metabolite compartmentation. The final chapters discuss trends in the study of enzyme systems and the dialectics of enzymology. This book is intended, not for the specialist, who knows much more about the individual questions than the text offers, but rather for the general biochemical reader interested in enzyme organization. There is practically no mathematics involved. Instead, quite elementary things are described, so that students and biologists with less background knowledge on enzymes will be able to join in.

"Details all of the photosynthetic factors and processes under both normal and stressful conditions--covering lower and higher plants as well as related biochemistry and plant molecular biology. Contains authoritative contributions from over 125 experts in the field from 28 countries, and includes almost 500 drawings, photographs, micrographs, tables, and equations--reinforcing and clarifying important text material."

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.

Dynamic soft materials that have the ability to expand and contract, change stiffness, self-heal or dissolve in response to environmental changes, are of great interest in applications ranging from biosensing and drug delivery to soft robotics and tissue engineering. This book covers the state-of-the-art and current trends in the very active and exciting field of bioinspired soft matter, its fundamentals and comprehension from the structural-property point of view, as well as materials and cutting-edge technologies that enable their design, fabrication, advanced characterization and underpin their biomedical applications. The book contents are supported by illustrated examples, schemes, and figures, offering a comprehensive and thorough overview of key aspects of soft matter. The book will provide a trusted resource for undergraduate and graduate students and will extensively benefit researchers and professionals working across the fields of chemistry, biochemistry, polymer chemistry, materials science and engineering, nanosciences, nanotechnologies, nanomedicine, biomedical engineering and medical sciences.

Organized Multienzyme Systems: Catalytic Properties describes the kinetic and catalytic properties of organized enzyme systems. This book is composed of nine chapters that specifically cover both immobilized and naturally occurring systems. The first two chapters examine the nature and function of enzyme organization in the mitochondrion, as well as the structural/functional coupling of the components in energy-transducing membrane systems. These topics are followed by discussions on ""dynamic compartmentation"" in soluble multienzyme systems; the allosteric enzyme systems; and allosterism in reversibly adsorptive enzyme systems. Other chapters explore model studies with specific immobilized multienzyme sequences, as regards the analysis of microenvironmental effects, and the mathematical exposition on the kinetic analysis of multienzyme systems in homogeneous solution. The last chapters present some theoretical and experimental studies on the behavior of immobilized systems. These chapters also provide a speculative integrative view of the kind of functional coherence that may be operative in organized states in vivo. This book is of great value to cell biologists, biochemists, and enzyme scientists and researchers.

The discipline of Synthetic Biology has recently emerged at the interface of biology and engineering. The definition of Synthetic Biology has been dynamic over time ever since, which exemplifies that the field is rapidly moving and comprises a broad range of research areas. In the frame of this Research Topic, we focus on Synthetic Biology approaches that aim at rearranging biological parts/ entities in order to generate novel biochemical functions with inherent metabolic activity. This Research Topic encompasses Pathway Engineering in living systems as well as the in vitro assembly of biomolecules into nano- and microscale bioreactors. Both, the engineering of metabolic pathways in vivo, as well as the conceptualization of bioreactors in vitro, require rational design of assembled synthetic pathways and depend on careful selection of individual biological functions and their optimization. Mathematical modelling has proven to be a powerful tool in predicting metabolic flux in living and artificial systems, although modelling approaches have to cope with a limitation in experimentally verified, reliable input variables. This Research Topic puts special emphasis on the vital role of modelling approaches for Synthetic Biology, i.e. the predictive power of mathematical simulations for (i) the manipulation of existing pathways and (ii) the establishment of novel pathways in vivo as well as (iii) the translation of model predictions into the design of synthetic assemblies.