Chun Wei Tung

CW Tung 2Chun-Wei Tung, Ph.D.
Investigator
Institute of Biotechnology and Pharmaceutical Research
Email: cwtung@nhri.edu.tw

 

EDUCATION

  • 2005/08 – 2010/07 , PhD, Institute of Bioinformatics, National Chiao Tung University, Hsinchu, Taiwan
  • 2001/0​8 – 2005/06 , B.S., Department of Biology, National Cheng Kung University, Tainan, Taiwan

EXPERIENCES

  • 2021/08 – present , Investigator, Institute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, Miaoli County, Taiwan
  • 2020/08 – 2021/07 , Associate Dean, College of Management, Taipei Medical University, Taipei, Taiwan
  • 2020/08 – 2021/07 , Director, International Ph.D. Program in Biotech and Healthcare Management, Taipei Medical University, Taipei, Taiwan
  • 2020/02 – 2021/07 , Professor, Graduate Institute of Data Science, College of Management, Taipei Medical University, Taipei, Taiwan
  • 2014/10 – 2021/07 , Adjunct Assistant Research Fellow, National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan
  • 2019/03 – 2020/01 , Associate Professor, Graduate Institute of Data Science, College of Management, Taipei Medical University, Taipei, Taiwan
  • 2016/03 – 2019/03 , Associate Professor, School of Pharmacy, College of Pharmacy, Kaohsiung Medical University, Kaohsiung, Taiwan
  • 2011/08 – 2016/02 , Assistant Professor, School of Pharmacy, College of Pharmacy, Kaohsiung Medical University, Kaohsiung, Taiwan
  • 2013/10 – 2014/09 , Adjunct Assistant Research Fellow, National Environmental Health Research Center, National Health Research Institutes, Miaoli, Taiwan
  • 2012/03 – 2012/05 , Visiting scholar, Center for Bioinformatics, National Center for Toxicological Research (NCTR), Food and Drug Administration (FDA), Jefferson, AR, USA.
  • 2011/02 – 2011/07 , Teaching assistant, Department of Electrical Engineering, R.O.C. Military Academy
  • 2010/08 – 2011/07 , Military service
  • 2008/09 – 2009/08 , Visiting scholar, Wilhelm Schickard Institute for Computer Science, Eberhard Karls University Tübingen, Tübingen, Germany (Professor Oliver Kohlbacher)

RESEARCH INTERESTS

Cheminformatics, Bioinformatics, Computational toxicology, Drug development, Machine learning, Database

RESEARCH ACTIVITIES & ACCOMPLISHMENTS

Dr. Tung’s lab focuses on the development of artificial intelligence and database techniques with applications to the prediction of function and toxicity of biological and chemical molecules. Several publicly available webservers have been developed including ChemDIS, SkinSensDB and SkinSensPred. He published more than 50 scientific papers and serverd as editoral board members for six journals including Scientific Reports and Current Computer-Aided Drug Design.

HONORS & AWARDS

  • 2021 – Excellent Research Paper Award (by Taipei Medical Univeristy, Taipei, Taiwan)
  • 2018 – Publons Peer Review Awards 2018 (Top 1% in Multidisciplinary)
  • 2017 – Best Presentation Award (by 2nd International Conference on Biomedical Signal and Bioinformatics, Auckland, New Zealand. Nov 27-30)
  • 2015 – Outstanding Research Award (by Kaohsiung Medical University, Kaohsiung, Taiwan)
  • 2014 – Outstanding Research Award (by Kaohsiung Medical University, Kaohsiung, Taiwan)
  • 2012 – Poster award (3rd place), International Conference on Bioinformatics and Computational Biology (BIOCOMP BG 2012), Varna, Bulgaria.
  • 2010 – The Research Excellence Award (by College of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan)
  • 2008 – The Scholarship of Sandwich Program for research visits to Germany (supported by DAAD of Germany and NSC of Taiwan)
  • 2008 – The Research Excellence Award (by College of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan)
  • 2007 – The Research Excellence Award (by College of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan)
  • 2004 – SUN Certified JAVA Programmer (SCJP 1.4)

SELECTED PUBLICATIONS(2011-2021)

  1. C.H. Hsu, H. Tomiyasu, J.J. Lee, C.W. Tung, C.H. Liao, C.H. Chuang, L.Y. Huang, K.W. Liao, C.H. Chou, A. T. C. Liao and C.S. Lin* (2021) Genome-wide DNA methylation analysis using MethylCap-seq in canine high-grade B-cell lymphoma, Journal of Leukocyte Biology, 109(6), 1089-1103.
  2. H.L. Kan, C.C. Wang, Y.C. Lin* and C.W. Tung* (2021) Computational Identification of Preservatives with Potential Neuronal Cytotoxicity, Regulatory Toxicology and Pharmacology, 119, 104815.
  3. C.C. Yen, C.W. Tung, C.W. Chang, C.C. Tsai, M.C. Hsu* and Y.T. Wu* (2020) Potential Risk of Higenamine Misuse in Sports: Evaluation of Lotus Plumule Extract Products and a Human Study, Nutrients, 12(2), 285.
  4. C.C. Wang, P. Lin, C.Y. Chou, S.S. Wang and C.W. Tung* (2020) Prediction of human fetal–maternal blood concentration ratio of chemicals, PeerJ, 8, e9562.
  5. C.W. Tung*, H.J. Cheng, C.C. Wang, S.S. Wang and P. Lin* (2020) Leveraging Complementary Computational Models for Prioritizing Chemicals of Developmental and Reproductive Toxicity Concern: An Example of Food Contact Materials, Archives of Toxicology, 94, 485–494.
  6. P.I. Liang, C.C. Wang, H.J. Cheng, S.S. Wang, Y.C. Lin, P. Lin* and C.W. Tung* (2020) Curation of cancer hallmark-based genes and pathways for in silico characterization of chemical carcinogenesis, Database (Oxford), 2020, baaa045.
  7. S.H. Huang, Y.C. Lin and C.W. Tung* (2020) Identification of time-invariant biomarkers for nongenotoxic hepatocarcinogen assessment, International Journal of Environmental Research and Public Health, 17(12), 4298.
  8. C.W. Tung*, Y.H. Lin and S.S. Wang (2019) Transfer Learning for Predicting Human Skin Sensitizers, Archives of Toxicology, 93(4), 931-940.
  9. C.W. Tung* and S.S. Wang (2018) ChemDIS 2: an update of chemical-disease inference system, Database (Oxford), 2018, bay077.
  10. C.W. Tung*, C.C. Wang, S.S. Wang and P. Lin* (2018) ChemDIS-Mixture: an online tool for analyzing potential interaction effects of chemical mixtures, Scientific Reports, 8, 10047.
  11. C.W. Tung*, C.C. Wang and S.S. Wang (2018) Mechanism-informed Read-across Assessment of Skin Sensitizers Based on SkinSensDB, Regulatory Toxicology and Pharmacology, 94, 276-282.
  12. C.H. Tseng*, C.W. Tung, S.I. Peng, Y.L. Chen, C.C. Tzeng and C.M. Cheng* (2018) Discovery of Pyrazolo[4,3-c]quinolines Derivatives as Potential Anti-Inflammatory Agents through Inhibiting of NO Production, Molecules, 23(5), 1036.
  13. Y.P. Liu, C.H. Chen, C.H. Yen, C.W. Tung, C.J. Chen, Y.M. A. Chen and M.S. Huang* (2018) Human immunodeficiency virus Tat-TIP30 interaction promotes metastasis by enhancing the nuclear translocation of Snail in lung cancer cell lines, Cancer Science, 109(10), 3105-3114.
  14. Y.L. Lin*, W.E. Huang, P.I. Liang and C.W. Tung (2018) An Integrated Web-based System for MEDLINE Analysis: A Case Study of Chronic Kidney Disease, Proceedings of 22nd Pacific Asia Conference on Information Systems (PACIS 2018), 1828-1840.
  15. C.C. Wang, Y.C. Lin, Y.C. Lin, S.R. Jhang and C.W. Tung* (2017) Identification of informative features for predicting proinflammatory potentials of engine exhausts, Biomedical Engineering Online, 16(Suppl 1), 66.
  16. C.C. Wang, Y.C. Lin, Y.H. Cheng and C.W. Tung* (2017) Profiling transcriptomes of human SH-SY5Y neuroblastoma cells exposed to maleic acid, PeerJ, 5, e3175.
  17. C.C. Wang, Y.C. Lin, S.S. Wang, C. Shih, Y.H. Lin and C.W. Tung* (2017) SkinSensDB: a curated database for skin sensitization assays, Journal of Cheminformatics, 9, 5.
  18. C.H. Tseng, C.W. Tung, C.H. Wu, C.C. Tzeng, Y.H. Chen*, T.L. Hwang* and Y.L. Chen* (2017) Discovery of Indeno[1,2-c]quinoline Derivatives as Potent Dual Antituberculosis and Anti-Inflammatory Agents, Molecules, 22(6), 1001.
  19. S.H. Huang and C.W. Tung* (2017) Identification of consensus biomarkers for predicting non-genotoxic hepatocarcinogens, Scientific Reports, 7, 41176.
  20. C.W. Chang, C.W. Tung, C.C. Tsai, Y.T. Wu* and M.C. Hsu* (2017) Determination of cannabinoids in hemp nuts products in Taiwan by HPLC-MS/MS coupled with chemometric analysis: Quality evaluation and a pilot human study, Drug Testing and Analysis, 9(6), 888-897.
  21. C.C. Wang, Y.C. Lin, Y.C. Lin, S.R. Jhang and C.W. Tung* (2016) Prediction of Proinflammatory Potentials of Engine Exhausts by Integrating Chemical and Biological Features, Chapter in Bioinformatics and Biomedical Engineering. Lecture Notes in Computer Science, Springer, 9656, 293-303. (EI)
  22. Y.H. Cheng, I.S. Chen, Y.C. Lin, C.W. Tung, H.S. Chang and C.C. Wang* (2016) Attenuation of antigen-specific T helper 1 immunity by Neolitsea hiiranensis and its derived terpenoids, PeerJ, 4, e2758.
  23. Y.K. Chen, C.W. Tung, J.Y. Lee, Y.C. Hung, C.H. Lee, S.H. Chou, H.S. Lin, M.T. Wu and I.C. Wu* (2016) Plasma matrix metalloproteinase 1 improves the detection and survival prediction of esophageal squamous cell carcinoma, Scientific Reports, 6, 30057.
  24. S.H. Huang, C.W. Tung, F. Fülöp and J.H. Li* (2015) Developing a QSAR model for hepatotoxicity screening of the active compounds in traditional Chinese medicines, Food and Chemical Toxicology, 78, 71-77.
  25. C.W. Tung* (2015) ChemDIS: a chemical-disease inference system based on chemical-protein interactions, Journal of Cheminformatics, 7, 25. (Highly Accessed)
  26. C.W. Tung*, P. Lin and C.C. Wang (2015) Toxicoinformatics Tools for Studying Endocrine Disruption Effects of Pesticides, Chapter in 104年農藥內分泌干擾作用專題研討會論文集 (蔡韙任 林嬪嬪 費雯綺 李悅怡, ed.), 行政院農業委員會農業藥物毒物試驗所, 67-77.
  27. M. Chen, C.W. Tung, Q. Shi, L. Guo, L. Shi, H. Fang, J. Borlak and W. Tong* (2014) A testing strategy to predict risk for drug-induced liver injury in humans using high-content screen assays and the ‘rule-of-two’ model, Archives of Toxicology, 88(7), 1439-1449.
  28. Y.C. Lin, C.C. Wang and C.W. Tung* (2014) An in silico toxicogenomics approach for inferring potential diseases associated with maleic acid, Chemico-Biological Interactions, 223(5), 38-44.
  29. C.W. Tung* (2014) Databases for T-cell epitopes, Methods in Molecular Biology, 1184, 123-134.
  30. C.W. Tung* (2014) Public databases of plant natural products for computational drug discovery, Current Computer-Aided Drug Design, 10(3), 191-196. (Editor Choice Article)
  31. C.W. Tung* and J.L. Jheng (2014) Interpretable prediction of non-genotoxic hepatocarcinogenic chemicals, Neurocomputing, 145, 68-74.
  32. C.W. Tung* (2014) Acquiring decision rules for predicting Ames-negative hepatocarcinogens using chemical-chemical interactions, Chapter in Pattern Recognition in Bioinformatics, Lecture Notes in Computer Science, Springer, 8626, 1-9. (EI)
  33. C.W. Tung*, Y.C. Lin, H.S. Chang, C.C. Wang, I.S. Chen, J.L. Jheng and J.H. Li (2014) TIPdb-3D: the three-dimensional structure database of phytochemicals from Taiwan indigenous plants, Database (Oxford), 2014, bau055.
  34. W.L. Huang, C.W. Tung, C. Liaw, H.L. Huang and S.Y. Ho* (2014) Rule-based knowledge acquisition method for promoter prediction in human and drosophila species, The Scientific World Journal, 2014, 327306.
  35. C.W. Tung* (2013) Prediction of pupylation sites using the composition of k-spaced amino acid pairs, Journal of Theoretical Biology, 336, 11-17.
  36. C.W. Tung, M.T. Wu, Y.K. Chen, C.C. Wu, W.C. Chen, H.P. Li, S.H. Chou, D.C. Wu and I.C. Wu* (2013) Identification of biomarkers for esophageal squamous cell carcinoma using feature selection and decision tree methods, The Scientific World Journal, 2013, 782031.
  37. C.W. Tung* (2013) Prediction of non-genotoxic hepatocarcinogenicity using chemical-protein interactions, Chapter in Pattern Recognition in Bioinformatics, Lecture Notes in Computer Science, Springer, 7986, 231-241. (EI)
  38. Y.C. Lin, C.C. Wang, I.S. Chen, J.L. Jheng, J.H. Li and C.W. Tung* (2013) TIPdb: a database of anticancer, antiplatelet, and antituberculosis phytochemicals from indigenous plants in Taiwan, The Scientific World Journal, 2013, 736386.
  39. C. Liaw, C.W. Tung and S.Y. Ho* (2013) Prediction and analysis of antibody amyloidogenesis from sequences, PLoS One, 8(1), e53235.
  40. C.W. Tung* (2012) PupDB: a database of pupylated proteins, BMC Bioinformatics, 13, 40. (Highly Accessed)
  41. W. Tung, M. Ziehm, A. Kämper, O. Kohlbacher* and S.Y. Ho* (2011) POPISK: T-cell reactivity prediction using support vector machines and string kernels, BMC Bioinformatics, 12, 446. (Highly Accessed)

FULL PUBLICATION LIST AND OTHER INFORMATION 

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