Prediction of Metabolite‐to‐Parent Drug Exposure: Derivation and Application of a Mechanistic Static Model
In the development of new drugs, the prediction of metabolite‐to‐parent plasma exposure ratio in humans prior to administration in a clinical study has emerged as an important need. In this work, we derived a mechanistic static model based on first principles to estimate metabolite‐to‐parent plasma...
Saved in:
Main Authors: | Ernesto Callegari (Author), Manthena V.S. Varma (Author), R. Scott Obach (Author) |
---|---|
Format: | Book |
Published: |
Wiley,
2020-05-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Mini‐Review: Comprehensive Drug Disposition Knowledge Generated in the Modern Human Radiolabeled ADME Study
by: Douglas K. Spracklin, et al.
Published: (2020) -
Response to "Quantitative Prediction of Drug‐Drug Interactions Involving Inhibitory Metabolites by Physiologically Based Pharmacokinetic Models: Is It Worth?"
by: IE Templeton, et al.
Published: (2017) -
The role of the microbiome in ovarian cancer: mechanistic insights into oncobiosis and to bacterial metabolite signaling
by: Adrienn Sipos, et al.
Published: (2021) -
Deep Learning Based Drug Metabolites Prediction
by: Disha Wang, et al.
Published: (2020) -
Mechanistic Models as Framework for Understanding Biomarker Disposition: Prediction of Creatinine‐Drug Interactions
by: Daniel Scotcher, et al.
Published: (2020)