Udo Reichl – författare

This book reviews the latest trends in glycobiotechnology, it offers an authoritative discussion about future directions of glycoengineering, and it provides a comprehensive overview about the current and emerging approaches to identify, quantify and characterize glycosylated proteins.

Divided into 14 chapters, the book outlines recombinant glycoprotein expression in mammalian cells, insect cells, yeast, and bacterial systems. It covers the chemical and enzymatic syntheses of glycans and glyconjugates, and addresses the impact of glycosylation on protein function for the development of biologicals including vaccines. In the final chapters of the book, readers will discover more about the state-of-the-art in glycomics, glycoproteomics and glycan array technologies.

This edited volume provides insights into and tools for the modeling, analysis, optimization, and control of large-scale networks in the life sciences and in engineering. Large-scale systems are often the result of networked interactions between a large number of subsystems, and their analysis and control are becoming increasingly important. The chapters of this book present the basic concepts and theoretical foundations of network theory and discuss its applications in different scientific areas such as biochemical reactions, chemical production processes, systems biology, electrical circuits, and mobile agents. The aim is to identify common concepts, to understand the underlying mathematical ideas, and to inspire discussions across the borders of the various disciplines.  The book originates from the interdisciplinary summer school “Large Scale Networks in Engineering and Life Sciences” hosted by the International Max Planck Research School Magdeburg, September 26-30, 2011, and will therefore be of interest to mathematicians, engineers, physicists, biologists, chemists, and anyone involved in the network sciences. In particular, due to their introductory nature the chapters can serve individually or as a whole as the basis of graduate courses and seminars, future summer schools, or as reference material for practitioners in the network sciences.