Associate Professor Yu-Feng Tseng

 
Specialty:
  1. Metabolomics
  2. Computational Chemistry and Toxicology
  3. Bioinformatics
  4. Cheminformatics
  5. Health Informatics
 
Current Position:
  • Associate Professor, Department of Computer Science and Information Engineering, College of Electrical Engineering and Computer Science, National Taiwan University
  • Associate Professor, Graduate Institute of Biomedical Electronics and Bioinformatics, College of Electrical Engineering and Computer Science, National Taiwan University
  • Associate Professor, School of Pharmacy, National Taiwan University College of Medicine
 
Education:
  • B.S., School of Pharmacy, National Taiwan University College of Medicine
  • Ph.D., Department of Medicinal Chemistry and Pharmacognosy, University of Illinois at Chicago
 
Tel: 886-2-33664888 #529
Fax: 886-2-23628167
E-mail: yjtseng@csie.ntu.edu.tw
Website: http://www.csie.ntu.edu.tw/~yjtseng/
 
Introduction:
    Associate Professor Yu-Feng Tseng specializes in two major fields of chemical structure calculation for computer-aided drug design and metabolomics; she not only does have expertise in bioinformatics and pharmacology, but also has many years of research and practical experiences in the United States. Dr. Tseng has developed the software for the large-scale commercial computer-aided drug design applied by global pharmaceutical companies and has written the section of identifying the structures of small molecules and its calculation methods and tools in the database of PubChem for National Center of Biotechnology Institute, National Institute of Health. Dr. Tseng not only does apply the calculation of molecular structure modification in novel drug development in Taiwan, but also led the team to collaborate internationally with U.S. Department of Agriculture, St. Jude Children's Hospital High Throughput Drug Screening Center and the major pharmaceutical companies. Dr. Tseng's outstanding contribution in this field has been awarded Charles Bell's Award and makes her to be the editorial advisor and editor of Journal of Molecular Graphics and Modelling and Combinatorial Chemistry & High Throughput Screening. Also, Dr. Tseng is the committee member of American Chemical Society Annual Meeting responsible for the agendas of computational chemistry in drug development. Apart from these, recently Dr. Tseng applied the techniques of computational analysis and bioinformatic network successfully in metabolomics, her research team often received requests from foreign countries to do research in Taiwan and help them obtain large scale research fund, and in 2010 she established the Metabolomics Core Laboratory in NTU Center of Genomic Medicine, providing an excellent link between basic and clinical researches in order to apply biomedical research results directly in translational medicine and personalized medicine.
 
Selected Publications:

Journal:

  1. Su BH, Shen MY, Esposito EX, Hopfinger AJ, Tseng YJ*. A Comprehensive SVM Binary hERG Classification Model Based on Extensive but Biased Endpoint hERG Data Sets, Chem. Res. in Tox, 2011, Web Publication Date, April 19, 2011.
  2. Wang SY, Ho TJ, Kuo CH*, Tseng YJ*. Chromaligner: a web server for chromatogram alignment. Bioinformatics 2010; 26: 2338-2339.
  3. Su BH, Shen MY, Esposito EX, Hopfinger AJ, Tseng YJ*. In silico Binary Classification QSAR models based on 4D-fingerprints and MOE descriptors for prediction of hERG blockage. J. Chem. Inf. Model. 2010; 50:1304–1318.
  4. Kuo CH*, Lee CW, Lin SC, Tsai IL, Lee SS, Tseng YJ, Kang JJ, Peng FC, Li WC. Rapid determination of aristolochic acids I and II in herbal products and biological samples by ultra-high-pressure liquid chromatography–tandem mass spectrometry. Talanta, 2010; 80: 1672-1680.
  5. Zheng T, Hopfinger AJ, Esposito EX, Liu J, Tseng YJ*. Membrane-Interaction Quantitative Structure−Activity Relationship (MI-QSAR) Analyses of Skin Penetration Enhancers. J. Chem. Inf. Model. 2008; 48(06):1238 -56.
  6. Liu J, Kern PS, Gerberick GF, Santos-Filho OA, Esposito EX, Hopfinger AJ, Tseng YJ*. Categorical QSAR Models for Skin Sensitization Based on Local Lymph Node Assay Measures and Both Ground and Excited State 4D-Fingerprint Descriptors. J. Comput. Aided Mol. Des. 2008; 22(6-7):345 -66.
  7. Iyer M, Zheng T, Hopfinger AJ, Tseng YJ*. QSAR Analyses of Skin Penetration Enhancers. J. Chem. Inf. Model. 2007; 47(03):1130-49.
  8. Li Y, Pan D, Liu J, Kern P, Gerberick G, Hopfinger AJ, Tseng YJ*. Categorical QSAR Models for Skin Sensitization Based Upon Local Lymph Node Assay Classification Measures Part 2: 4D-Fingerprint 3-State and Two-2-State Logistic Regression Models. Toxicol. Sci. 2007; 99(2):532 -44.
  9. Iyer M, Tseng YJ, Senese C, Hopfinger AJ*. Prediction and mechanistic interpretation of human oral drug absorption using mi-qsar analysis. Mol. Pharm. 2007; 4(2):218 -31.
  10. Li Y, Tseng YJ, Liu J, Pan D, Hopfinger AJ*, Kern PS, Gerberick G.F. 4D-Fingerprint Categorical QSAR Models for Skin Sensitization Based on Classification Local Lymph Node Assay Measures. Chem. Res. Toxicol. 2007; 20(1):114 -28.

Book Chapter:

  1. Tseng YJ. Essential Algorithms in Cheminformatics. In: Molecular Conceptor. Israel. 2008: 13.1-13.10.