Georg Kettschau
Schering AG
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ChemBioChem | 2005
Knut Eis; Stuart Ince; Carsten Jahn; Rolf Jautelat; Vladimir Katchourovsky; Georg Kettschau; Rolf Woloszczak
Since the discovery of the first protein kinase inhibitors in the 1980s, inhibition of kinase activity has become an increasingly important theme in pharmaceutical research. The successful introduction of kinase inhibitors as a new treatment paradigm in cancer has spurred vast scientific activities both in academia and in the pharmaceutical industry. The field of protein kinases and their inhibitors exhibits considerable complexity. The human kinome, the entirety of all protein kinases abundant in humans, encompasses no less than 500 different enzymes. Furthermore, as most of the known small-molecule inhibitors of protein kinases address the conserved ATPbinding site, many of them inhibit not just one but multiple kinases. This fact raises not only selectivity as a key issue in kinase research, but can also generate complex datasets in which inhibitor structures are linked to a panel of kinases. The broad scientific activity in the field has resulted in a sometimes perplexing wealth of publicly available information, making data mining and processing a substantial challenge. Searching for the concept “small molecule kinase inhibitor” on the Internet yielded over 50 000 hits. Since 2000, more than 6000 scientific papers and patents on kinase inhibitors have been published. The information is highly scattered amongst these sources and, for example, extracting and compiling biological activities against a certain set of kinase targets within a given molecular class may prove to be a truly daunting task. In addition, larger pharmaceutical research organizations running multiple kinase-inhibitor research projects generate large and complex sets of internal experimental data. The first part of this article contains a brief introduction to selected, publicly or commercially available information resources related to kinases and their inhibitors. Subsequently, we will describe eKID, a data warehouse set up at Schering AG to deal with the vast amount of external and internal data on smallmolecule kinase inhibitors.
Archive | 2006
Ulrich Luecking; Georg Kettschau; Hans Briem; Wolfgang Schwede; Martina Schaefer; Karl-Heinz Thierauch; Manfred Husemann
Archive | 2005
Georg Kettschau; Hans Briem; Ingo Hartung; Ulrich Luecking; Martina Schaefer; Karl-Heinz Thierauch; Wolfgang Schwede; Manfred Husemann
Archive | 2005
Georg Kettschau; Hans Briem; Andreas Huth; Ulrich Luecking; Martina Schaefer; Karl-Heinz Thierauch; Wolfgang Schwede; Manfred Husemann
Archive | 2015
Ulrich Klar; Lars Wortmann; Georg Kettschau; Keith Graham; Anja Richter; Philip Lienau; Florian Puehler; Kirstin Petersen; Franziska Siegel; Detlev Sülzle
Archive | 2017
Georg Kettschau; Ulrich Klar; Philip Lienau; Kirstin Petersen; Detlev Sülzle; Keith Graham; Nicole Schmidt; Anja Giese; Julien Lefranc
Archive | 2016
Anja Richter; Ulrich Klar; Keith Graham; Georg Kettschau; Detlev Sülzle; Philip Lienau; Kirstin Petersen; Julien Lefranc; Nicole Schmidt
Archive | 2014
Florian Dr Phler; Philip Lienau; Georg Kettschau; Ulrich Klar; Anja Richter; Kristin Dr Petersen; Detlev Slzle; Andrea Dr Hgebarth; Lars Wortmann
Archive | 2013
Ulrich Klar; Lars Wortmann; Georg Kettschau; Florian Puehler; Philip Lienau; Kirstin Petersen; Andrea Hägebarth; Detlev Sülzle; Anja Richter
Archive | 2008
Hans Briem; Ingo Hartung; Georg Kettschau; Stuart Ince; Karl-Heinz Thierauch; Ulf Boemer