Almquist J - Search Results

1

Cvijovic M, Almquist J, Hagmar J, Hohmann S, Kaltenbach HM, Klipp E, Krantz M, Mendes P, Nelander S, Nielsen J, Pagnani A, Przulj N, Raue A, Stelling J, Stoma S, Tobin F, Wodke JA, Zecchina R, Jirstrand M. Cvijovic M, et al. Among authors: almquist j. Mol Genet Genomics. 2014 Oct;289(5):727-34. doi: 10.1007/s00438-014-0843-3. Epub 2014 Apr 13. Mol Genet Genomics. 2014. PMID: 24728588 Review.

2

Kinetic models in industrial biotechnology - Improving cell factory performance.

Almquist J, Cvijovic M, Hatzimanikatis V, Nielsen J, Jirstrand M. Almquist J, et al. Metab Eng. 2014 Jul;24:38-60. doi: 10.1016/j.ymben.2014.03.007. Epub 2014 Apr 16. Metab Eng. 2014. PMID: 24747045 Free article. Review.

3

Modeling the effect of Kv1.5 block on the canine action potential.

Almquist J, Wallman M, Jacobson I, Jirstrand M. Almquist J, et al. Biophys J. 2010 Nov 3;99(9):2726-36. doi: 10.1016/j.bpj.2010.08.062. Biophys J. 2010. PMID: 21044569 Free PMC article.

4

Yeast AMP-activated protein kinase monitors glucose concentration changes and absolute glucose levels.

Bendrioua L, Smedh M, Almquist J, Cvijovic M, Jirstrand M, Goksör M, Adiels CB, Hohmann S. Bendrioua L, et al. Among authors: almquist j. J Biol Chem. 2014 May 2;289(18):12863-75. doi: 10.1074/jbc.M114.547976. Epub 2014 Mar 13. J Biol Chem. 2014. PMID: 24627493 Free PMC article.

5

Using sensitivity equations for computing gradients of the FOCE and FOCEI approximations to the population likelihood.

Almquist J, Leander J, Jirstrand M. Almquist J, et al. J Pharmacokinet Pharmacodyn. 2015 Jun;42(3):191-209. doi: 10.1007/s10928-015-9409-1. Epub 2015 Mar 24. J Pharmacokinet Pharmacodyn. 2015. PMID: 25801663 Free PMC article.

6

A Nonlinear Mixed Effects Approach for Modeling the Cell-To-Cell Variability of Mig1 Dynamics in Yeast.

Almquist J, Bendrioua L, Adiels CB, Goksör M, Hohmann S, Jirstrand M. Almquist J, et al. PLoS One. 2015 Apr 20;10(4):e0124050. doi: 10.1371/journal.pone.0124050. eCollection 2015. PLoS One. 2015. PMID: 25893847 Free PMC article.

7

Exact Gradients Improve Parameter Estimation in Nonlinear Mixed Effects Models with Stochastic Dynamics.

Olafsdottir HK, Leander J, Almquist J, Jirstrand M. Olafsdottir HK, et al. Among authors: almquist j. AAPS J. 2018 Aug 1;20(5):88. doi: 10.1208/s12248-018-0232-7. AAPS J. 2018. PMID: 30069613

8

Challenging the dose-response-time data approach: Analysis of a complex system.

Andersson R, Jirstrand M, Almquist J, Gabrielsson J. Andersson R, et al. Among authors: almquist j. Eur J Pharm Sci. 2019 Feb 1;128:250-269. doi: 10.1016/j.ejps.2018.11.015. Epub 2018 Nov 17. Eur J Pharm Sci. 2019. PMID: 30453011

9

Mixed Effects Modeling Using Stochastic Differential Equations: Illustrated by Pharmacokinetic Data of Nicotinic Acid in Obese Zucker Rats.

Leander J, Almquist J, Ahlström C, Gabrielsson J, Jirstrand M. Leander J, et al. Among authors: almquist j. AAPS J. 2015 May;17(3):586-96. doi: 10.1208/s12248-015-9718-8. Epub 2015 Feb 19. AAPS J. 2015. PMID: 25693487 Free PMC article.

10

Model-Based Evaluation of Radiation and Radiosensitizing Agents in Oncology.

Cardilin T, Almquist J, Jirstrand M, Zimmermann A, El Bawab S, Gabrielsson J. Cardilin T, et al. Among authors: almquist j. CPT Pharmacometrics Syst Pharmacol. 2018 Jan;7(1):51-58. doi: 10.1002/psp4.12268. Epub 2017 Dec 14. CPT Pharmacometrics Syst Pharmacol. 2018. PMID: 29218836 Free PMC article.

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