Prediction of the in vitro intrinsic clearance determined in suspensions of human hepatocytes by using artificial neural networks.
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Characterisation of data resources for in silico modelling: benchmark datasets for ADME properties.Chimeric mice transplanted with human hepatocytes as a model for prediction of human drug metabolism and pharmacokinetics.Multi-functional scaling methodology for translational pharmacokinetic and pharmacodynamic applications using integrated microphysiological systems (MPS).Prediction of fraction metabolized via CYP3A in humans utilizing cryopreserved human hepatocytes from a set of 12 single donors.Structure-activity relationship for Fe(III)-salen-like complexes as potent anticancer agents.Dried blood spot testing: a novel approach for the therapeutic drug monitoring of ziprasidone-treated patients
P2860
Prediction of the in vitro intrinsic clearance determined in suspensions of human hepatocytes by using artificial neural networks.
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2010 nî lūn-bûn
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2010年の論文
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name
Prediction of the in vitro int ...... ng artificial neural networks.
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Prediction of the in vitro int ...... ng artificial neural networks.
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type
label
Prediction of the in vitro int ...... ng artificial neural networks.
@en
Prediction of the in vitro int ...... ng artificial neural networks.
@nl
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Prediction of the in vitro int ...... ng artificial neural networks.
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Prediction of the in vitro int ...... ng artificial neural networks.
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P1476
Prediction of the in vitro int ...... ng artificial neural networks.
@en
P2093
José A G Morais
P304
P356
10.1016/J.EJPS.2009.12.007
P407
P577
2010-01-07T00:00:00Z