Prediction of the human oral bioavailability by using in vitro and in silico drug related parameters in a physiologically based absorption model.
about
Advances in computationally modeling human oral bioavailabilityPredicting human intestinal absorption in the presence of bile salt with micellar liquid chromatography.Critical evaluation of human oral bioavailability for pharmaceutical drugs by using various cheminformatics approaches.Utility of models of the gastrointestinal tract for assessment of the digestion and absorption of engineered nanomaterials released from food matrices.An Intuitive Approach for Predicting Potential Human Health Risk with the Tox21 10k Library.Physiologically-based pharmacokinetic models: approaches for enabling personalized medicine.Investigation of omeprazole and phenacetin first-pass metabolism in humans using a microscale bioreactor and pharmacokinetic models.Characterization of preclinical in vitro and in vivo ADME properties and prediction of human PK using a physiologically based pharmacokinetic model for YQA-14, a new dopamine D3 receptor antagonist candidate for treatment of drug addiction.Evaluation and calibration of high-throughput predictions of chemical distribution to tissues.In silico ADME-Tox modeling: progress and prospects.Drug delivery of oral anti-cancer fluoropyrimidine agents.A compartment-quasi-3D multiscale approach for drug absorption, transport, and retention in the human lungs.Prediction of drug distribution in rat and humans using an artificial neural networks ensemble and a PBPK model.
P2860
Q27008316-703FFDEE-4C6B-4CCF-9C3D-F7DF3D1BDFC9Q35977576-6337DDAB-F5E6-4B50-87F9-D7EB652F3B3AQ37639371-347D4A98-1375-49FF-B786-A373223B4E18Q38239571-E8023154-ACF6-4722-B3B2-3B77FF0EBB4BQ38624509-E5327D1D-0523-4F9A-9A93-B53ABD5FF300Q38959281-0C880986-8690-44FE-8535-ACEC4A6931C7Q41441454-2D88A1B7-401F-4EFA-88C5-CD71BA6A42A6Q45201753-55FBECB1-AADC-48A4-91D4-5A5713A6069BQ47651844-3C811783-5959-46CA-B714-1FDAD65AEE4CQ47658021-7A994FF2-A249-4BD0-8FBD-C9E3AEB2F47AQ48317852-399E7268-AE1B-4661-A30C-919A2468EDC1Q48355199-F8E29171-6511-46A3-A3E6-63FEDCE22C79Q51083254-D1A12AF1-EF3F-4FC8-9C08-FC64DEE0DED5
P2860
Prediction of the human oral bioavailability by using in vitro and in silico drug related parameters in a physiologically based absorption model.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年学术文章
@wuu
2012年学术文章
@zh
2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
2012年學術文章
@zh-hant
name
Prediction of the human oral b ...... ically based absorption model.
@en
Prediction of the human oral b ...... ically based absorption model.
@nl
type
label
Prediction of the human oral b ...... ically based absorption model.
@en
Prediction of the human oral b ...... ically based absorption model.
@nl
prefLabel
Prediction of the human oral b ...... ically based absorption model.
@en
Prediction of the human oral b ...... ically based absorption model.
@nl
P50
P1476
Prediction of the human oral b ...... gically based absorption model
@en
P2093
José A G Morais
Paulo Paixão
P356
10.1016/J.IJPHARM.2012.03.019
P407
P577
2012-03-18T00:00:00Z