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The exponential increase in computing power in the late twentieth century has allowed researchers to gather, process and analyze large volumes of information and construct rational paradigms of systems. Life sciences are no exception and computing advances have led to the birth of fields such as functional genomics and bioinformatics and facilitated an expansion of our understanding of biological systems. Biological Systems: Complexity and Artificial Life is an essential primer on systems biology for biologists and researchers having a multidisciplinary background. The volume covers a variety

Bioinformatics. --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Data processing

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The concept of network as a mathematical description of a set of states, or events, linked according to a certain topology has been developed recently and has led to a novel approach of real world. This approach is no doubt important in the field of biology. In fact biological systems can be considered networks. Thus, for instance, an enzyme-catalysed reaction is a network that links, according to a certain topology, the various states of the protein and of its complexes with the substrates and products of the chemical reaction. Connections between neurons, social relations in animal and human populations are also examples of networks. Hence there is little doubt that the concept of network transgresses the boundaries between traditional scientific disciplines. This book is aimed at discussing in physical terms these exciting new topics on simple protein model lattices, supramolecular protein edifices, multienzyme and gene networks. *Physical and mathematical approach of biological phenomena. *Offers biochemists and biologists the mathematical background required to understand the text. *Associates in the same general formulation, the ideas of communication of a message and organization of a system. *Provides a clear-cut definition and mathematical expression of the concepts of reduction, integration, emergence and complexity that were so far time-honoured and vague

Active oxygen. --- Antioxidants. --- Antioxidants. --- Bacterial cell walls. --- Bacterial proteins. --- Biochemistry. --- Biochemistry. --- Bioenergetics. --- Biological psychiatry. --- Biological systems. --- Brain --- Brain --- Cell Membrane --- Cell Membrane. --- Chromatin --- Chromatin --- Chromatin. --- Complexity (Philosophy). --- Disease --- Energy metabolism. --- Free Radicals. --- Free radicals (Chemistry) --- Gene Expression --- Gene expression. --- Genetic Engineering --- Genetic Vectors. --- Genetic engineering. --- Genetic transformation. --- Glycoproteins --- Glycoproteins. --- Life (Biology). --- Lipid membranes. --- Lipids --- Lipids --- Lipids. --- Lipids. --- Lipoproteins --- Lipoproteins. --- Lipoproteins. --- Membrane Lipids --- Membrane Proteins --- Membrane lipids --- Membrane lipids. --- Membrane proteins. --- Membranes --- Mental disorders --- Neurotransmitter receptors. --- Peptidoglycans. --- Principal components analysis. --- Protein binding. --- Reactive Oxygen Species. --- Reduction (Chemistry). --- Transformation, Genetic --- Viruses. --- Pathophysiology. --- Physiology. --- Metabolism. --- Metabolism. --- Ultrastructure. --- Etiology. --- Pathophysiology. --- Physiology. --- Methods. --- Metabolism --- Disorders. --- Metabolism. --- Metabolism. --- Metabolism. --- Metabolism. --- Metabolism. --- Metabolism. --- Anatomy and histology. --- Etiology. --- Physiology.

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Enzymes --- Chemical kinetics --- Enzymes --- Kinetics

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Growth (Plants) --- Croissance (Plantes)

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