A Pharmacokinetic Modeling Approach to Predict the Contribution of Active Metabolites to Human Efficacious Dose.

about

A Pharmacokinetic Modeling Approach to Predict the Contribution of Active Metabolites to Human Efficacious Dose.

Item

http://www.wikidata.org/entity/Q46751744

description

2016 nî lūn-bûn

@nan

2016年の論文

@ja

2016年学术文章

@wuu

2016年学术文章

@zh-cn

2016年学术文章

@zh-hans

2016年学术文章

@zh-my

2016年学术文章

@zh-sg

2016年學術文章

@yue

2016年學術文章

@zh

2016年學術文章

@zh-hant

name

A Pharmacokinetic Modeling App ...... tes to Human Efficacious Dose.

@en

A Pharmacokinetic Modeling App ...... tes to Human Efficacious Dose.

@nl

type

Item

label

A Pharmacokinetic Modeling App ...... tes to Human Efficacious Dose.

@en

A Pharmacokinetic Modeling App ...... tes to Human Efficacious Dose.

@nl

prefLabel

A Pharmacokinetic Modeling App ...... tes to Human Efficacious Dose.

@en

A Pharmacokinetic Modeling App ...... tes to Human Efficacious Dose.

@nl

P1476

A Pharmacokinetic Modeling App ...... tes to Human Efficacious Dose.

@en

P2093

Erin F Mulrooney

http://www.w3.org/2001/XMLSchema#string

Iain J Martin

http://www.w3.org/2001/XMLSchema#string

James A Baker

http://www.w3.org/2001/XMLSchema#string

Sujal V Deshmukh

http://www.w3.org/2001/XMLSchema#string

Susan E Hill

http://www.w3.org/2001/XMLSchema#string

P2860

Comprehensive assessment of human pharmacokinetic prediction based on in vivo animal pharmacokinetic data, part 1: volume of distribution at steady state.

Comprehensive assessment of human pharmacokinetic prediction based on in vivo animal pharmacokinetic data, part 2: clearance.

Comparison of the use of liver models for predicting drug clearance using in vitro kinetic data from hepatic microsomes and isolated hepatocytes.

Mechanistic Modeling to Predict Midazolam Metabolite Exposure from In Vitro Data.

Interspecies prediction of human drug clearance based on scaling data from one or two animal species.

Prediction of hepatic metabolic clearance based on interspecies allometric scaling techniques and in vitro-in vivo correlations.

Rationalization and prediction of in vivo metabolite exposures: the role of metabolite kinetics, clearance predictions and in vitro parameters.

Discovering drugs through biological transformation: role of pharmacologically active metabolites in drug discovery.

Improving the decision-making process in the structural modification of drug candidates: enhancing metabolic stability.

P304

1435-1440

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1124/DMD.116.070391

http://www.w3.org/2001/XMLSchema#string

P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P577

2016-06-03T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

27260151

http://www.w3.org/2001/XMLSchema#string