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Analytical Biochemistry
|
October 24, 2007
Microcalorimetric study of the inhibition of butyrylcholinesterase by carbamates
Jean Debord, Cécile Laubarie, Thierry Dantoine
Molecules (Basel, Switzerland)
|
October 28, 2023
Enhanced Sorption Performance of Natural Zeolites Modified with pH-Fractionated Humic Acids for the Removal of Methylene Blue from Water
Stefano Salvestrini, Jean Debord, Jean-Claude Bollinger
Journal of Inorganic Biochemistry
|
March 7, 2003
Inhibition of human serum arylesterase by metal chlorides
Jean Debord, Jean-Claude Bollinger, Louis Merle, et al.
Biochimie
|
October 8, 2013
Temperature dependence of binding and catalysis for human serum arylesterase/paraoxonase
Jean Debord, Jean-Claude Bollinger, Michel Harel, et al.
Journal of Enzyme Inhibition and Medicinal Chemistry
|
November 22, 2002
Inhibition of butyrylcholinesterase by phenothiazine derivatives
Jean Debord, Louis Merle, Jean-Claude Bollinger, et al.
Clinical Pharmacology and Therapeutics
|
November 30, 2020
Tacrolimus Exposure Prediction Using Machine Learning
Jean-Baptiste Woillard, Marc Labriffe, Jean Debord, et al.
Clinical Pharmacology and Therapeutics
|
February 24, 2021
Mycophenolic Acid Exposure Prediction Using Machine Learning
Jean-Baptiste Woillard, Marc Labriffe, Jean Debord, et al.
CPT: Pharmacometrics & Systems Pharmacology
|
May 23, 2022
Machine learning algorithms to estimate everolimus exposure trained on simulated and patient pharmacokinetic profiles
Marc Labriffe, Jean-Baptiste Woillard, Jean Debord, et al.
Pharmacological Research
|
February 17, 2018
Pharmacokinetic models to assist the prescriber in choosing the best tacrolimus dose
Jean-Baptiste Woillard, Franck Saint-Marcoux, Jean Debord, et al.
Clinical Pharmacokinetics
|
March 21, 2018
A Limited Sampling Strategy to Estimate Exposure of Everolimus in Whole Blood and Peripheral Blood Mononuclear Cells in Renal Transplant Recipients Using Population Pharmacokinetic Modeling and Bayesian Estimators
Ida Robertsen, Jean Debord, Anders Åsberg, et al.
Page
of 4
Search research articles
Search
Showing results (1-10 of 37) with videos related to
Sort By:
Page
of 4
Analytical Biochemistry
|
October 24, 2007
Microcalorimetric study of the inhibition of butyrylcholinesterase by carbamates
Jean Debord, Cécile Laubarie, Thierry Dantoine
Molecules (Basel, Switzerland)
|
October 28, 2023
Enhanced Sorption Performance of Natural Zeolites Modified with pH-Fractionated Humic Acids for the Removal of Methylene Blue from Water
Stefano Salvestrini, Jean Debord, Jean-Claude Bollinger
Journal of Inorganic Biochemistry
|
March 7, 2003
Inhibition of human serum arylesterase by metal chlorides
Jean Debord, Jean-Claude Bollinger, Louis Merle, et al.
Biochimie
|
October 8, 2013
Temperature dependence of binding and catalysis for human serum arylesterase/paraoxonase
Jean Debord, Jean-Claude Bollinger, Michel Harel, et al.
Journal of Enzyme Inhibition and Medicinal Chemistry
|
November 22, 2002
Inhibition of butyrylcholinesterase by phenothiazine derivatives
Jean Debord, Louis Merle, Jean-Claude Bollinger, et al.
Clinical Pharmacology and Therapeutics
|
November 30, 2020
Tacrolimus Exposure Prediction Using Machine Learning
Jean-Baptiste Woillard, Marc Labriffe, Jean Debord, et al.
Clinical Pharmacology and Therapeutics
|
February 24, 2021
Mycophenolic Acid Exposure Prediction Using Machine Learning
Jean-Baptiste Woillard, Marc Labriffe, Jean Debord, et al.
CPT: Pharmacometrics & Systems Pharmacology
|
May 23, 2022
Machine learning algorithms to estimate everolimus exposure trained on simulated and patient pharmacokinetic profiles
Marc Labriffe, Jean-Baptiste Woillard, Jean Debord, et al.
Pharmacological Research
|
February 17, 2018
Pharmacokinetic models to assist the prescriber in choosing the best tacrolimus dose
Jean-Baptiste Woillard, Franck Saint-Marcoux, Jean Debord, et al.
Clinical Pharmacokinetics
|
March 21, 2018
A Limited Sampling Strategy to Estimate Exposure of Everolimus in Whole Blood and Peripheral Blood Mononuclear Cells in Renal Transplant Recipients Using Population Pharmacokinetic Modeling and Bayesian Estimators
Ida Robertsen, Jean Debord, Anders Åsberg, et al.
Page
of 4