Physiologically based pharmacokinetic modeling 1: predicting the tissue distribution of moderate-to-strong bases.
By T. Rodgers, David E. Leahy, M. Rowland. Journal of Pharmacy and Science, 2005
748 citations recorded by the source corpus.
Subfields: Nephrology, Oncology, Pharmacology
View Paper: https://www.semanticscholar.org/paper/400fa1cf0a1b599ec1c3223483d38fa8d71df057
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Nephrology
In Oncology
In Pharmacology
Citations in the corpus
- A framework for assessing inter-individual variability in pharmacokinetics using virtual human populations and integrating general knowledge of physical chemistry, biology, anatomy, physiology and genetics: A tale of 'bottom-up' vs 'top-down' recognition of covariates. (2009, methodology): “105,106,142) give the ability to separate drug attributes from those of the system and to incorporate times have removed this restriction.”
- PBPK models for the prediction of in vivo performance of oral dosage forms. (2014, methodology): “The fractions of lipid, protein, and water in each organ and sub-compartment are embedded in the software, enabling the calculation of tissue–plasma-partition coefficients using five different approaches (PK-Sim standard (PK-Sim , 2012), Rodgers and Rowland (Rodgers et al., 2005a,b; Rodgers and Rowl”
- Applied Concepts in PBPK Modeling: How to Build a PBPK/PD Model (2016, background): “to electrostatic interactions at physiological pH.(45,46) These include binding of ionized and unionized drugs to acidic phospholipids and neutral lipids, respectively.”