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leong

梁剛荐  教授

 

 

 

 

 

  聯絡方式

研究室:(03)-890-3609

實驗室:(03)-890-3610

  辦公室

理工二館C110

 實驗室

理工二館C114

  Email

leong@gms.ndhu.edu.tw

 

  實驗室個別網頁網址

http://mkleong.weebly.com/ 

  主要學歷

 

美國德州大學化學物理博士

 

  現職經歷

美國德州大學 研究員
國家衛生研究院 助研究員
太景生物科技公司 研究員
國立東華大學化學系助理教授
國立東華大學化學系副教授
國立東華大學化學系教授

  研究方向

1. 化學資訊學、分子模擬、電腦輔助藥物設計/分子設計、機器學習應用
 
2. 本實驗室目前的研究是 ADME/Tox in silico and drug discovery。歡迎有化學、生化、生物、藥物化學或物理相關背景的人員加入本實驗室

 

  學術著作

 

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