Optimum Design of Experiments for Enzyme Inhibition Kinetic Models
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2011/03/24
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Indian UGC (journal)
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Refrences13
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Citations17
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Barbara Bogacka a School of Mathematical Sciences , Queen Mary, University of London , London, United Kingdom
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Maciej Patan b Institute of Control and Computation Engineering , University of Zielona Góra , Zielona Góra, Poland
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Patrick J. Johnson c Pfizer Limited , Sandwich Laboratories , Sandwich, United Kindom
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Kuresh Youdim c Pfizer Limited , Sandwich Laboratories , Sandwich, United Kindom
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Anthony C. Atkinson d Department of Statistics , London School of Economics and Political Science , London, United Kingdom
Cite
Bogacka, Barbara, et al. “Optimum Design of Experiments for Enzyme Inhibition Kinetic Models”. Journal of Biopharmaceutical Statistics, vol. 21, no. 3, 2011, pp. 555-72, https://doi.org/10.1080/10543406.2010.489979.
Bogacka, B., Patan, M., Johnson, P. J., Youdim, K., & Atkinson, A. C. (2011). Optimum Design of Experiments for Enzyme Inhibition Kinetic Models. Journal of Biopharmaceutical Statistics, 21(3), 555-572. https://doi.org/10.1080/10543406.2010.489979
Bogacka B, Patan M, Johnson PJ, Youdim K, Atkinson AC. Optimum Design of Experiments for Enzyme Inhibition Kinetic Models. Journal of Biopharmaceutical Statistics. 2011;21(3):555-72.
Journal Categories
Medicine
Public aspects of medicine
Toxicology
Poisons
Medicine
Therapeutics
Pharmacology
Science
Mathematics
Probabilities
Mathematical statistics
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| 10.1007/978-3-7908-2693-7_5 | 2004 | |||
| 10.1093/oso/9780199296590.001.0001 | 2007 | |||
| 10.1093/oso/9780199296590.001.0001 | Journal of Statistical Planning and Inference |
| 2004 | |
| 10.1093/oso/9780199296590.001.0001 | Technometrics |
| 1997 | |
| Proceedings of the 6th St Petersburg Workshop on Simulation | 2009 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Impact of the Error Structure on the Design and Analysis of Enzyme Kinetic Models | Statistics in Biosciences |
| 2022 | |
| Streamlining tablet lubrication design via model-based design of experiments | International Journal of Pharmaceutics |
| 1 | 2022 |
A design criterion for symmetric model discrimination based on flexible nominal sets | Biometrical Journal |
| 2 | 2020 |
Optimal Design of Experiments for Hybrid Nonlinear Models, with Applications to Extended Michaelis–Menten Kinetics | Journal of Agricultural, Biological and Environmental Statistics |
| 6 | 2020 |
| Using Differential Evolution to design optimal experiments | Chemometrics and Intelligent Laboratory Systems |
| 10 | 2020 |
Citations Analysis
The category
Science: Mathematics: Probabilities. Mathematical statistics 11
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Optimum Experimental Designs for Choosing Between Competitive and Non Competitive Models of Enzyme Inhibition and was published in 2012. The most recent citation comes from a 2022 study titled Impact of the Error Structure on the Design and Analysis of Enzyme Kinetic Models. This article reached its peak citation in 2020, with 4 citations. It has been cited in 14 different journals. Among related journals, the Chemometrics and Intelligent Laboratory Systems cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.