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Proceedings of the Society are included in v. 1-59, 1879-1937.

De Novo Enzyme Design, the newest volume in the Methods in Enzymology series, continues the legacy of this premier serial with quality chapters authored by leaders in the field. This volume includes the design of metal binding maquettes, insertion of non-natural cofactors, Cu metallopeptides, non-covalent interactions in peptide assemblies, peptide binding and bundling, heteronuclear metalloenzymes, florinated peptides, De Novo imaging agents, and protein-protein interaction. Continues the legacy of this premier serial with quality chapters on de novo enzyme design Represents the newest volume in the Methods in Enzymology series, providing premier, quality chapters authored by leaders in the field Ideal reference for those interested in the study of enzyme design that looks at both structure and mechanism

"PH and Brain Function offers thorough coverage of this increasingly important area of research, beginning with the fundamental concepts, which include methodological and theoretical issues such as the measurement of pH and the concept of pH in neurobiology. It explores aspects of regulation and modulation of intracellular pH in brain cells, surveys the changes in pH that occur with neural activity and how these changes affect neural activity, and discusses the role of pH in the pathophysiology of neurological diseases." "pH and Brain Function is an important resource for researchers in all areas of neuroscience as well as cell biology and physiology." --Book Jacket.

An introduction to the mathematical concepts and techniques needed for the construction and analysis of models in molecular systems biology. Systems techniques are integral to current research in molecular cell biology, and system-level investigations are often accompanied by mathematical models. These models serve as working hypotheses: they help us to understand and predict the behavior of complex systems. This book offers an introduction to mathematical concepts and techniques needed for the construction and interpretation of models in molecular systems biology. It is accessible to upper-level undergraduate or graduate students in life science or engineering who have some familiarity with calculus, and will be a useful reference for researchers at all levels. The first four chapters cover the basics of mathematical modeling in molecular systems biology. The last four chapters address specific biological domains, treating modeling of metabolic networks, of signal transduction pathways, of gene regulatory networks, and of electrophysiology and neuronal action potentials. Chapters 3–8 end with optional sections that address more specialized modeling topics. Exercises, solvable with pen-and-paper calculations, appear throughout the text to encourage interaction with the mathematical techniques. More involved end-of-chapter problem sets require computational software. Appendixes provide a review of basic concepts of molecular biology, additional mathematical background material, and tutorials for two computational software packages (XPPAUT and MATLAB) that can be used for model simulation and analysis.