Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Detlev Suelzle"'
Autor:
Stefan Gradl, Sooncheol Lee, Martin Lange, Xiaoyun Wu, Silvia Goldoni, Timothy Lewis, Charlotte Kopitz, Colin Garvie, Philip Lienau, Stephanie Hoyt, Henrik Seidel, Stephan Kaulfuss, Manuel Ellermann, Luc de Waal, Adrian Tersteegen, Sven Golfier, Detlev Suelzle, Christa Hegele-Hartung, James Carr, Frederick Brookfield, Michael Bruening, Melanie Berthold, Thibaud Jourdan, Monica Schenone, Galen Gao, Joseph McGaunn, Antje Wengner, Elisa Aquilanti, Franziska Siegel, Marine Garrido, Annette Walter, Isabelle Genvresse, Andrew Cherniack, Stuart Schreiber, Knut Eis, Ashley Eheim, Matthew Meyerson, Heidi Greulich
Publikováno v:
Cancer Research. 82:ND04-ND04
Velcrin compounds are a class of small molecules that induce complex formation between PDE3A and SLFN12, killing cancer cells that express elevated levels of these two proteins by a mechanism independent of PDE3A enzymatic inhibition. Instead, PDE3A
Autor:
Steven M. Corsello, Huajia Zhang, Rajesha Rupaimoole, Volker K. Schulze, Clara Lemos, Kasia B. Handing, Douglas L. Orsi, Mrinal Shekhar, Ulrike Sack, Sven Christian, Wilhelm Bone, Ranad Humeidi, William Colgan, Stephanie Hoyt, Andrew Cherniack, Jens Schroder, Stefan Kaulfuss, Krzysztof Brzezinka, Oliver von Ahsen, Anne Mengel, Roman C. Hillig, Detlev Suelzle, Jeremie Mortier, Caitlin Harrington, Rohith Nagari, Justyna Wierzbinska, Derek Chiang, Georg Beckmann, Meagan Olive, Namrata Udeshi, Annie Apffel, Steven Carr, Philip Lienau, Christian Lechner, Ulf Boemer, Alisha Caliman, David McKinney, Florence Wagner, Dominik Mumberg, Marcus Bauser, Andrea Haegebarth, Knut Eis, Ashley Eheim, Todd R. Golub
Publikováno v:
Cancer Research. 82:3588-3588
CSNK1A1 is a serine/threonine kinase involved in multiple cellular processes, including cell division, beta catenin signaling, and TP53 activation. Inhibition of CSNK1A1 has previously been validated as a therapeutic strategy in hematologic malignanc
Autor:
Timothy A. Lewis, Franziska Siegel, Ulf Boemer, Bethany Kaplan, Heidi Greulich, Franz von Nussbaum, Jens Schroeder, Stephan Siegel, K. Petersen, Ursula Moenning, Mario Hermsen, Florian Prinz, Matthew Meyerson, Sabine Zitzmann-Kolbe, Andrew D. Cherniack, Daniel Korr, Detlev Suelzle, Uwe Eberspaecher, Knut Eis, Keith Graham, Gizem Karsli-Uzunbas
Publikováno v:
Cancer Research. 81:1470-1470
Several targeted therapeutic options exist for non-small cell lung cancer (NSCLC) patients whose tumors harbor mutations of EGFR, including L858R, exon 19 deletions, and the acquired resistance mutation, T790M. However, there is no approved targeted
Autor:
Christoph Stephan Hilger, Hubertus Pietsch, Markus Berger, Christian Neis, Christa Hegele-Hartung, Kaspar Hegetschweiler, Björn Riefke, Thomas Frenzel, Gregor Jost, Detlev Suelzle, Marcus Bauser
Publikováno v:
Investigative Radiology. 51:776-785
Characterization of BAY-576, a new x-ray contrast agent which is not based on iodine, but rather on the heavy metal hafnium. Compared with iodine, hafnium provides better x-ray absorption in the energy range of computed tomography (CT) and allows ima
Autor:
Franziska Siegel, Carl Friedrich Nising, Franz von Nussbaum, Ulf Boemer, Herbert Himmel, Detlev Suelzle, Marcus Bauser, Uwe Eberspaecher, Simon Holton, Joerg Weiske, Florian Prinz, Ralf Lesche, Clara Lemos, Dominik Mumberg, Dieter Moosmayer, Knut Eis, Andrea Haegebarth, Stefan Prechtl, Barbara Nicke, Duy Nguyen, Lars Wortmann, Christian Lechner, Katrin Nowak-Reppel
Publikováno v:
Journal of medicinal chemistry. 62(2)
The availability of a chemical probe to study the role of a specific domain of a protein in a concentration- and time-dependent manner is of high value. Herein, we report the identification of a highly potent and selective ERK5 inhibitor BAY-885 by h
Autor:
Antonius Ter Laak, Nikolaus Heinrich, Timon Schroeter, Klaus-Robert Müller, Sebastian Mika, Detlev Suelzle, Ursula Ganzer, Anton Schwaighofer
Publikováno v:
Journal of Computer-Aided Molecular Design. 21:651-664
We investigate the use of different Machine Learning methods to construct models for aqueous solubility. Models are based on about 4000 compounds, including an in-house set of 632 drug discovery molecules of Bayer Schering Pharma. For each method, we
Autor:
Stefan Jaroch, Gerardine Burton, Peter Hoelscher, Heribert Miklautz, Margit Hillmann, Detlev Suelzle, Hartmut Rehwinkel, Fiona M. McDonald
Publikováno v:
Bioorganic & Medicinal Chemistry Letters. 14:743-746
Fluorinated dihydroquinolines showed reduced basicity of the amidine function. Their syntheses and potencies as neuronal nitric oxide synthase (n-NOS) inhibitors are reported.
Autor:
Ursula Ganzer, Antonius Ter Laak, Detlev Suelzle, Nikolaus Heinrich, Klaus-Robert Müller, Sebastian Mika, Timon Schroeter, Anton Schwaighofer
Publikováno v:
ChemMedChem. 2(9)
Many drug failures are due to an unfavorable ADMET profile (Absorption, Distribution, Metabolism, Excretion & Toxicity). Lipophilicity is intimately connected with ADMET and in today’s drug discovery process, the octanol water partition coefficient
Autor:
Timon Schroeter, Anton Schwaighofer, Sebastian Mika, Antonius Ter Laak, Detlev Suelzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller, Arno P. J. M. Siebes, Michael R. Berthold, Robert C. Glen, Ad J. Feelders
Publikováno v:
AIP Conference Proceedings.
Unfavorable physicochemical properties often cause drug failures. It is therefore important to take lipophilicity and water solubility into account early on in lead discovery. This study presents log D7 models built using Gaussian Process regression,
Autor:
Detlev Suelzle, Antonius Ter Laak, Ursula Ganzer, Nikolaus Heinrich, Timon Schroeter, Anton Schwaighofer, Sebastian Mika, Klaus-Robert Müller
Unfavorable lipophilicity and water solubility cause many drug failures; therefore these properties have to be taken into account early on in lead discovery. Commercial tools for predicting lipophilicity usually have been trained on small and neutral
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc5ee67cdd8916b36167b3c9025ccd6b
https://publica.fraunhofer.de/handle/publica/213671
https://publica.fraunhofer.de/handle/publica/213671