With the growing use of physiologically-based pharmacokinetic (PBPK) modeling to predict the pharmacokinetics of a drug, accurate prediction of the tissue: plasma water partition coefficients (Kp,m) has become increasingly important. In these predictions, drug-lipid interactions have been traditionally described using the octanol: water partition coefficient (logP) and the vegetable: oil: water partition coefficient (logPvo). However, the logP does not fully represent all of the drug interactions with phospholipids, while the logPvo is calculated from the logP and not determined experimentally. Partitioning into microsomes has been used as a potential surrogate for phospholipid partitioning in our previous steady-state volume of distribution prediction method. Microsomal partitioning is able to act as a total phospholipid partitioning term, representing both acidic and neutral phospholipid interactions. Partitioning into adipocytes potentially can provide an alternative surrogate for d / Pharmaceutical Sciences
Identifer | oai:union.ndltd.org:TEMPLE/oai:scholarshare.temple.edu:20.500.12613/1455 |
Date | January 2019 |
Creators | Holt, Kimberly |
Contributors | Korzekwa, Kenneth, Korzekwa, Kenneth, Nagar, Swati, Childers, Wayne E., Barrero, Carlos A., Gibson, Christopher |
Publisher | Temple University. Libraries |
Source Sets | Temple University |
Language | English |
Detected Language | English |
Type | Thesis/Dissertation, Text |
Format | 161 pages |
Rights | IN COPYRIGHT- This Rights Statement can be used for an Item that is in copyright. Using this statement implies that the organization making this Item available has determined that the Item is in copyright and either is the rights-holder, has obtained permission from the rights-holder(s) to make their Work(s) available, or makes the Item available under an exception or limitation to copyright (including Fair Use) that entitles it to make the Item available., http://rightsstatements.org/vocab/InC/1.0/ |
Relation | http://dx.doi.org/10.34944/dspace/1437, Theses and Dissertations |
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