Your browser does not support JavaScript!
leong_

Max K. Leong

Professor
Cheminformatics/ Pharmaceutical Chemistry
 
 
 

 

 

 

 

 

   Phone

Office：(03)-890-3609

Lab   ：(03)-890-3610

    Office

C110 Science building 2

     Laboratory

C114 Science building 2

    e-mail

leong@gms.ndhu.edu.tw

 

   Personal Website

http://mkleong.weebly.com/　

 
  Education

 

Ph,D.,Chemical Physics, University of Texas
 

  Experience
 
 Professor, Department of Chemistry, National Dong Hwa University
Associate Professor, Department of Chemistry, National Dong Hwa University
Assistant Professor, Department of Chemistry, National Dong Hwa University
Principal Investigator, TaiGen Biotechnology, Taiwan
Assistant Principal Investigator, Division of Biotechnology and Pharmaceutical Research, National Health Research Institutes, Taiwan
Research Associate, College of Pharmacy, University of Texas

   Research Interests
 
Cheminformatics, Molecular Modeling, Computer-Aided Drug Design/Computer-Aided Molecule Design, Machine Learning Applications
My group is currently studying ADME/Tox in silico and drug discovery, focusing on cancer and infectious diseases. 
Highly motivated people, well trained in chemistry, biochemistry, biology, pharmaceutical chemistry, pharmaceutics and/or physics, are welcome to join us.

 

  Selected Publications

 

1. Leong, M. K., Chen, C., Shar, K.-C. and Shiuan, D. Selection and characterization of lipase abzyme from phage displayed antibody libraries. Biochem. Biophys. Res. Commun. 2008, 361, (3), 567-573. SCI。

2. Hsu, S. J., Hsu, K. M., Leong, M. K. and Lin, I. J. B.* Au(I)-benzimidazole/imidazole complexes. Liquid crystals and nanomaterials. Dalton Trans.2008, 14, 1924-1931. SCI。

3. Leong, M. K.;* and Chen, T.-H. (2008). Prediction of cytochrome P450 2B6-substrate interactions using pharmacophore ensemble/support vector machine (PhE/SVM) approach. Med. Chem. 2008, 4, (4), 396-406. SCI 。

4. Leong, M. K.;* Chen, Y.-M.; Chen, H.-B.; Chen, P.-H. Development of a New Predictive Model for Interactions with Human Cytochrome P450 2A6 Using Pharmacophore Ensemble/Support Vector Machine (PhE/SVM) Approach. Pharm. Res. 2009, 26, (4), 987-1000. SCI。

5. Leong, M. K.;* Chen, Y.-M.; Chen, T.-H. Prediction of Human Cytochrome P450 2B6-Substrate Interactions Using Hierarchical Support Vector Regression Approach. J. Comput. Chem. 2009, 30, (12), 1899-1909. SCI 。

6. Chiou, L.-S.; Fang, C.-S.; Sarkar, B.; Liu, L.-K.; Leong, M. K.;* Liu, C. W.* Reactivities of Secondary Phosphine Selenides Cp(CO)2FeP(Se)(OR)2: Formation of a Diiodine Charge Transfer Adduct and Se-Methylation. Organometallics 2009, 28, (17), 4958-4963. SCI。

7. Leong, M. K.;* Lin, S.-W.; Chen, H.-B.; Tsai, F.-Y. Predicting Mutagenicity of Aromatic Amines by Various Machine Learning Approaches. Toxicol. Sci. 2010, 116, (2), 498-513. SCI 。

8. Chen, C.-N.; Shih, Y.-H.; Ding, Y.-L.; Leong, M. K.,* Predicting Activation of the Promiscuous Human Pregnane X Receptor by Pharmacophore Ensemble/Support Vector Machine Approach. Chem. Res. Toxicol. 2011, 24, (10), 1765-1778. SCI 。

9. Leong, M. K.;* Chen, H.-B.; Shih, Y.-H., Prediction of Promiscuous P-Glycoprotein Inhibition Using a Novel Machine Learning Scheme, PLoS One 2012, 7, (3), e33829. SCI。