Mauch K - Search Results

1

Bridging the layers: towards integration of signal transduction, regulation and metabolism into mathematical models.

Gonçalves E, Bucher J, Ryll A, Niklas J, Mauch K, Klamt S, Rocha M, Saez-Rodriguez J. Gonçalves E, et al. Among authors: mauch k. Mol Biosyst. 2013 Jul;9(7):1576-83. doi: 10.1039/c3mb25489e. Epub 2013 Mar 25. Mol Biosyst. 2013. PMID: 23525368 Review.

2

BioPreDyn-bench: a suite of benchmark problems for dynamic modelling in systems biology.

Villaverde AF, Henriques D, Smallbone K, Bongard S, Schmid J, Cicin-Sain D, Crombach A, Saez-Rodriguez J, Mauch K, Balsa-Canto E, Mendes P, Jaeger J, Banga JR. Villaverde AF, et al. Among authors: mauch k. BMC Syst Biol. 2015 Feb 20;9:8. doi: 10.1186/s12918-015-0144-4. BMC Syst Biol. 2015. PMID: 25880925 Free PMC article.

3

Quantitative Evaluation and Prediction of Drug Effects and Toxicological Risk Using Mechanistic Multiscale Models.

Niklas J, Diaz Ochoa JG, Bucher J, Mauch K. Niklas J, et al. Among authors: mauch k. Mol Inform. 2013 Jan;32(1):14-23. doi: 10.1002/minf.201200043. Epub 2012 Nov 14. Mol Inform. 2013. PMID: 27481020

4

A multi-scale modeling framework for individualized, spatiotemporal prediction of drug effects and toxicological risk.

Diaz Ochoa JG, Bucher J, Péry AR, Zaldivar Comenges JM, Niklas J, Mauch K. Diaz Ochoa JG, et al. Among authors: mauch k. Front Pharmacol. 2013 Jan 22;3:204. doi: 10.3389/fphar.2012.00204. eCollection 2012. Front Pharmacol. 2013. PMID: 23346056 Free PMC article.

5

A hybrid approach identifies metabolic signatures of high-producers for chinese hamster ovary clone selection and process optimization.

Popp O, Müller D, Didzus K, Paul W, Lipsmeier F, Kirchner F, Niklas J, Mauch K, Beaucamp N. Popp O, et al. Among authors: mauch k. Biotechnol Bioeng. 2016 Sep;113(9):2005-19. doi: 10.1002/bit.25958. Epub 2016 Jul 19. Biotechnol Bioeng. 2016. PMID: 26913695

6

Central energy metabolism remains robust in acute steatotic hepatocytes challenged by a high free fatty acid load.

Niklas J, Bonin A, Mangin S, Bucher J, Kopacz S, Matz-Soja M, Thiel C, Gebhardt R, Hofmann U, Mauch K. Niklas J, et al. Among authors: mauch k. BMB Rep. 2012 Jul;45(7):396-401. doi: 10.5483/bmbrep.2012.45.7.070. BMB Rep. 2012. PMID: 22831974 Free article.

7

In Silico Modeling for the Prediction of Dose and Pathway-Related Adverse Effects in Humans From In Vitro Repeated-Dose Studies.

Klein S, Maggioni S, Bucher J, Mueller D, Niklas J, Shevchenko V, Mauch K, Heinzle E, Noor F. Klein S, et al. Among authors: mauch k. Toxicol Sci. 2016 Jan;149(1):55-66. doi: 10.1093/toxsci/kfv218. Epub 2015 Sep 29. Toxicol Sci. 2016. PMID: 26420750

8

A guide to gene regulatory network inference for obtaining predictive solutions: Underlying assumptions and fundamental biological and data constraints.

Barbosa S, Niebel B, Wolf S, Mauch K, Takors R. Barbosa S, et al. Among authors: mauch k. Biosystems. 2018 Dec;174:37-48. doi: 10.1016/j.biosystems.2018.10.008. Epub 2018 Oct 9. Biosystems. 2018. PMID: 30312740 Review.

9

A consensus approach for estimating the predictive accuracy of dynamic models in biology.

Villaverde AF, Bongard S, Mauch K, Müller D, Balsa-Canto E, Schmid J, Banga JR. Villaverde AF, et al. Among authors: mauch k. Comput Methods Programs Biomed. 2015 Apr;119(1):17-28. doi: 10.1016/j.cmpb.2015.02.001. Epub 2015 Feb 11. Comput Methods Programs Biomed. 2015. PMID: 25716416 Free article.

10

Metabolic design based on a coupled gene expression-metabolic network model of tryptophan production in Escherichia coli.

Schmid JW, Mauch K, Reuss M, Gilles ED, Kremling A. Schmid JW, et al. Among authors: mauch k. Metab Eng. 2004 Oct;6(4):364-77. doi: 10.1016/j.ymben.2004.06.003. Metab Eng. 2004. PMID: 15491865

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