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Egner, U. / I. Schlichting (Hrsg.). Data Mining in Structural Biology - Signal Transduction and Beyond. Springer Berlin Heidelberg, 2014.
eng

Data Mining in Structural Biology

Signal Transduction and Beyond
  • Springer Berlin Heidelberg
  • 2014
  • Taschenbuch
  • 224 Seiten
  • ISBN 9783662046470
Herausgeber: U. Egner / I. Schlichting

Structural biology is becoming a routine technique for structure de­ termination in pharmaceutical industries. The advances in molecular biology, crystal handling and data collection techniques, tunable syn­ chrotron radiation sources, and high-performance computing have all contributed to developments such as the production and expression of tailored protein domains, the use of the MAD (Multiple Anomalous Dispersion) method, and the collection of X-ray data from tiny crystals at cryogenic temperature. The number of protein structures deposited in the Protein Databank has increased tremendously over the last 3-4 years. Since 1997, more than 1,500 structures have been deposited each year, and during the first 7 months of this

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year, 1,500 protein structures were already deposited. The numerous initiatives in the field of "structural genomics" distributed all over the world have led to the development of techniques for high-throughput structure determina­ tion, thereby contributing to the increase in the determination of three­ dimensional protein structures. This structural information is being ex­ plored in various ways in the drug discovery process. It is not only used in structure-based drug design of new low-molecular-weight li­ gands, but also in the early stages of target validation and assessment. With the number of protein sequences without significant homology to well-known proteins increasing, the technique of structure-sequence compatibility (threading) is increasingly used to assign a function to a given protein fold.

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