Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Daniel Kaschek"'
Autor:
Steven Hiemstra, Mirjam Fehling-Kaschek, Isoude A. Kuijper, Luc J. M. Bischoff, Lukas S. Wijaya, Marcus Rosenblatt, Jeroen Esselink, Allard van Egmond, Jornt Mos, Joost B. Beltman, Jens Timmer, Bob van de Water, Daniel Kaschek
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Cells are exposed to oxidative stress and reactive metabolites every day. The Nrf2 signaling pathway responds to oxidative stress by upregulation of antioxidants like glutathione (GSH) to compensate the stress insult and re-establish homeost
Externí odkaz:
https://doaj.org/article/15080c2445a249f3aa5307f2274fe4e7
Autor:
Daniel Lill, Anne Kümmel, Venelin Mitov, Daniel Kaschek, Nathalie Gobeau, Henning Schmidt, Jens Timmer
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 11, Iss 4, Pp 512-523 (2022)
Abstract Simulation of combination therapies is challenging due to computational complexity. Either a simple model is used to simulate the response for many combinations of concentration to generate a response surface but parameter variability and un
Externí odkaz:
https://doaj.org/article/d297c53fa9a14a1691c16fe7a86e1619
Publikováno v:
PLoS ONE, Vol 17, Iss 8, p e0264295 (2022)
Biological systems are frequently analyzed by means of mechanistic mathematical models. In order to infer model parameters and provide a useful model that can be employed for systems understanding and hypothesis testing, the model is often calibrated
Externí odkaz:
https://doaj.org/article/1c4fea97b44240a8bbc514ec56ce17c1
Autor:
Gabriel Helmlinger, Victor Sokolov, Kirill Peskov, Karen M. Hallow, Yuri Kosinsky, Veronika Voronova, Lulu Chu, Tatiana Yakovleva, Ivan Azarov, Daniel Kaschek, Artem Dolgun, Henning Schmidt, David W. Boulton, Robert C. Penland
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 8, Iss 6, Pp 380-395 (2019)
Quantitative systems pharmacology (QSP), a mechanistically oriented form of drug and disease modeling, seeks to address a diverse set of problems in the discovery and development of therapies. These problems bring a considerable amount of variability
Externí odkaz:
https://doaj.org/article/0bc86cacff10421bbe8ac64b3a5e719b
Publikováno v:
Journal of Statistical Software, Vol 88, Iss 1, Pp 1-32 (2019)
In a wide variety of research fields, dynamic modeling is employed as an instrument to learn and understand complex systems. The differential equations involved in this process are usually non-linear and depend on many parameters whose values determi
Externí odkaz:
https://doaj.org/article/6e0b01bdc87a41a7932e93e910b59c72
Publikováno v:
PLoS ONE, Vol 14, Iss 6, p e0217837 (2019)
When non-linear models are fitted to experimental data, parameter estimates can be poorly constrained albeit being identifiable in principle. This means that along certain paths in parameter space, the log-likelihood does not exceed a given statistic
Externí odkaz:
https://doaj.org/article/8a81145b3d5d4d89a5e967fdfbe61869
Autor:
Silvia von der Heyde, Johanna Sonntag, Daniel Kaschek, Christian Bender, Johannes Bues, Astrid Wachter, Jens Timmer, Ulrike Korf, Tim Beißbarth
Publikováno v:
BioTechniques, Vol 57, Iss 3, Pp 125-135 (2014)
Analysis of large-scale proteomic data sets requires specialized software tools, tailored toward the requirements of individual approaches. Here we introduce an extension of an open-source software solution for analyzing reverse phase protein array (
Externí odkaz:
https://doaj.org/article/36f3c99b5b6d499ea1285e944671061d
Autor:
Tim Maiwald, Helge Hass, Bernhard Steiert, Joep Vanlier, Raphael Engesser, Andreas Raue, Friederike Kipkeew, Hans H Bock, Daniel Kaschek, Clemens Kreutz, Jens Timmer
Publikováno v:
PLoS ONE, Vol 11, Iss 9, p e0162366 (2016)
In systems biology, one of the major tasks is to tailor model complexity to information content of the data. A useful model should describe the data and produce well-determined parameter estimates and predictions. Too small of a model will not be abl
Externí odkaz:
https://doaj.org/article/e74019cad76e473baab573344e3c9a94
Autor:
Julie Bachmann, Andreas Raue, Marcel Schilling, Martin E Böhm, Clemens Kreutz, Daniel Kaschek, Hauke Busch, Norbert Gretz, Wolf D Lehmann, Jens Timmer, Ursula Klingmüller
Publikováno v:
Molecular Systems Biology, Vol 7, Iss 1, Pp 1-15 (2011)
Abstract Cellular signal transduction is governed by multiple feedback mechanisms to elicit robust cellular decisions. The specific contributions of individual feedback regulators, however, remain unclear. Based on extensive time‐resolved data sets
Externí odkaz:
https://doaj.org/article/bd53c05d92ec4d889408fd7a16bfd741
Autor:
Andreas Raue, Marcel Schilling, Julie Bachmann, Andrew Matteson, Max Schelker, Daniel Kaschek, Sabine Hug, Clemens Kreutz, Brian D Harms, Fabian J Theis, Ursula Klingmüller, Jens Timmer
Publikováno v:
PLoS ONE, Vol 8, Iss 9, p e74335 (2013)
Due to the high complexity of biological data it is difficult to disentangle cellular processes relying only on intuitive interpretation of measurements. A Systems Biology approach that combines quantitative experimental data with dynamic mathematica
Externí odkaz:
https://doaj.org/article/51b4b8a459aa41d087424ebbaa1e71d4