Author Description

Over the past decade, the scientific community of post-proteomics and post-genomics witnessed the rapid evolution of a new scientific field - the glycomics. The investigation of both glycans and glycan-binding proteins and lipids revealed increasingly the role of complex carbohydrates in diverse inter- and intracellular processes. Advances in analytical technologies, carbohydrate chemistry and structural biology led to an increased understanding of the high degree of variability of both composition, structure and function of sugars. Additionally, structure-function studies showed an inherent complexity which is determined by different branching patterns, various possible linkage positions and numerous building blocks. Even though there has been significant progress in the development of interdisciplinary approaches such as experimental and computer scientific tools, the general technological developments in glycomics lag behind those in the proteomic and genomic areas. In particular, despite the current progress in glyco-bioinformatics regarding the computational characterization of carbohydrates, the glycomics community is still lacking a systematic and comprehensive database and analysis software. The database landscape is made up of numerous independent and disconnected databases with partially overlapping core areas. These databases provide neither complete nor compatible data sets on glycan structures. Additionally, since the individual data encoding and analysis software tools do not use a common language for the representation of schematic structures and sequence topologies, data processing and interpretation become extremely challenging. The underlying aim of this symposium is to bring together glycochemists and biologists with experts in bioinformatics and computer sciences to pave the way for a concerted effort in the area of glyco-bioinformatics. Scientists who "produce" data met those who "use" the data. They discussed aspects such as data mining, struct