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Journal of Pharmaceutical Sciences
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March 12, 2005
Quantitative Structure-Pharmacokinetic Relationships for drug distribution properties by using general regression neural network
C W Yap, Y Z Chen
Journal of Chemical Information and Modeling
|
July 28, 2005
Prediction of cytochrome P450 3A4, 2D6, and 2C9 inhibitors and substrates by using support vector machines
C W Yap, Y Z Chen
Clinical Radiology
|
August 21, 2023
The different shapes of the fourth ventricle
C W Yap, C Yong, B K H Soon
Journal of Molecular Graphics & Modelling
|
November 18, 2005
Quantitative structure-pharmacokinetic relationships for drug clearance by using statistical learning methods
C W Yap, Z R Li, Y Z Chen
Toxicological Sciences : an Official Journal of the Society of Toxicology
|
February 21, 2004
Prediction of torsade-causing potential of drugs by support vector machine approach
C W Yap, C Z Cai, Y Xue, et al.
Current Topics in Medicinal Chemistry
|
August 22, 2006
Application of support vector machines to in silico prediction of cytochrome p450 enzyme substrates and inhibitors
C W Yap, Y Xue, Z R Li, et al.
Mini Reviews in Medicinal Chemistry
|
November 30, 2007
Regression methods for developing QSAR and QSPR models to predict compounds of specific pharmacodynamic, pharmacokinetic and toxicological properties
C W Yap, H Li, Z L Ji, et al.
Molecular Pharmacology
|
September 28, 2006
In silico prediction of pregnane X receptor activators by machine learning approaches
C Y Ung, H Li, C W Yap, et al.
Chemical Research in Toxicology
|
August 22, 2006
Classification of a diverse set of Tetrahymena pyriformis toxicity chemical compounds from molecular descriptors by statistical learning methods
Y Xue, H Li, C Y Ung, et al.
Drug News & Perspectives
|
May 11, 2005
Trends in exploration of therapeutic targets
C J Zheng, L Y Han, C W Yap, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 24) with videos related to
Sort By:
Page
of 3
Journal of Pharmaceutical Sciences
|
March 12, 2005
Quantitative Structure-Pharmacokinetic Relationships for drug distribution properties by using general regression neural network
C W Yap, Y Z Chen
Journal of Chemical Information and Modeling
|
July 28, 2005
Prediction of cytochrome P450 3A4, 2D6, and 2C9 inhibitors and substrates by using support vector machines
C W Yap, Y Z Chen
Clinical Radiology
|
August 21, 2023
The different shapes of the fourth ventricle
C W Yap, C Yong, B K H Soon
Journal of Molecular Graphics & Modelling
|
November 18, 2005
Quantitative structure-pharmacokinetic relationships for drug clearance by using statistical learning methods
C W Yap, Z R Li, Y Z Chen
Toxicological Sciences : an Official Journal of the Society of Toxicology
|
February 21, 2004
Prediction of torsade-causing potential of drugs by support vector machine approach
C W Yap, C Z Cai, Y Xue, et al.
Current Topics in Medicinal Chemistry
|
August 22, 2006
Application of support vector machines to in silico prediction of cytochrome p450 enzyme substrates and inhibitors
C W Yap, Y Xue, Z R Li, et al.
Mini Reviews in Medicinal Chemistry
|
November 30, 2007
Regression methods for developing QSAR and QSPR models to predict compounds of specific pharmacodynamic, pharmacokinetic and toxicological properties
C W Yap, H Li, Z L Ji, et al.
Molecular Pharmacology
|
September 28, 2006
In silico prediction of pregnane X receptor activators by machine learning approaches
C Y Ung, H Li, C W Yap, et al.
Chemical Research in Toxicology
|
August 22, 2006
Classification of a diverse set of Tetrahymena pyriformis toxicity chemical compounds from molecular descriptors by statistical learning methods
Y Xue, H Li, C Y Ung, et al.
Drug News & Perspectives
|
May 11, 2005
Trends in exploration of therapeutic targets
C J Zheng, L Y Han, C W Yap, et al.
Page
of 3