BioCompLab

Principal Investigator

Postdocs

Research Assistant

Ph.D. Student

Master Student

Alumni

Chun-Wei Tung, Ph.D. (童俊維)

Investigator

Institute of Biotechnology and Pharmaceutical Research,
National Health Research Institutes, Taiwan
Email: cwtung@nhri.edu.tw
Search in PubMed, Google scholar, Web of Science

    Education:

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

    Experience:

  • 2021/08 - present, Investigator, Institute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, Miaoli County, Taiwan
  • 2021/08 - present, Jointly Appointed Professor, Doctoral Degree Program in Toxicology, College of Pharmacy, Kaohsiung Medical University, Kaohsiung, Taiwan
  • 2021/08 - present, Jointly Appointed Professor, Master Degree Program in Toxicology, College of Pharmacy, Kaohsiung Medical University, Kaohsiung, Taiwan
  • 2021/10 - present, Adjunct Professor, Graduate Institute of Data Science, College of Management, Taipei Medical University, Taipei, 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)

    Professional Certification and Awards:

  • 2023 - Outstanding Alumni (by Department of Life Sciences, National Cheng Kung University, Tainan, Taiwan)
  • 2022 - Excellent Paper Award, 2022 International Symposium of Precision Environmental Medicine - Endocrine Disrupting Chemicals and Health (ISPEM 2012), Taipei, Taiwan.
  • 2021 - Excellent Research Paper Award (by Taipei Medical University, 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)

    Research Interest:

  • Toxicoinformatics
  • Immunoinformatics
  • Bioinformatics

    Projects:

  • 2024/01 - 2024/12, Constructing an in-silico toxicity prediction platform for pesticide metabolites, Agricultural Chemicals Research Institute, Ministry of Agriculture, (PI, 113AS-2.6.1-PI-02)
  • 2024/01 - 2024/12, Construction of experimental animal management system and humane use of management tools, Department of Animal Welfare, Ministry of Agriculture (PI, 113AS-2.6.2-AP-03)
  • 2023/01 - 2023/12, Application of artificial intelligence algorithms for antimicrobial resistance analysis in Salmonella, Bureau of Animal and Plant Health Inspection and Quarantine, Council of Agriculture, Executive Yuan (PI, 112AS-5.1.3-BQ-B1)
  • 2023/01 - 2023/12, Build an in silico skin sensitization prediction platform for pesticides for replacement of animal testing, Taiwan Agricultural Chemicals and Toxic Substances Research Institute, Council of Agriculture, Executive Yuan (PI, 112AS-9.1.1-PI-P2)
  • 2022/01 - 2022/12, Development and improvement of artificial intelligence methods for antimicrobial resistance prediction in Salmonella and Escherichia, Bureau of Animal and Plant Health Inspection and Quarantine, Council of Agriculture, Executive Yuan (PI, 111AS-5.6.1-BQ-B1)
  • 2022/01 - 2022/12, Build an in silico skin sensitization prediction platform for pesticides for replacement of animal testing, Taiwan Agricultural Chemicals and Toxic Substances Research Institute, Council of Agriculture, Executive Yuan (PI, 111AS-13.1.1-PI-P2)
  • 2022/01 - 2022/12, The relationship from the gut microbiota to its derivative metabolites on nuclear receptors function and related cardiovascular complications. Subprojct 3: Bioinformatics analysis and experimental validation of microbial metabolites induced nuclear receptor responses (PI, NHRIKMU-111-I003)
  • 2022/01 - 2023/12, Artificial Intelligence (AI)-Guided Development of Induced Exosomes (iExo) for Next-Generation Nucleic Acid Therapeutics. Subprojct 3: Artificial Intelligence and Bioinformatics Platforms for the Design and Analysis of EP4 Antagonist and Allosteric Modulator (PI, CS-111-SP-01)
  • 2022/01 - 2023/12, Artificial Intelligence-assisted Drug Discovery Targeting an Orphan Receptor with High Therapeutic Value. Subprojct 1: Development of Novel Artificial Intelligence Algorithms for Identifying GPRC5B Agonists and Antagonists(PI, BP-111-SP-01)
  • 2021/08 - 2024/07, Developing a virtual zebrafish system for studying chemical toxicity, National Science and Technology Council (PI, NSTC-110-2221-E-400-004-MY3)
  • 2021/01 - 2021/12, Developing artificial intelligence methods for antimicrobial resistance prediction, Bureau of Animal and Plant Health Inspection and Quarantine, Council of Agriculture, Executive Yuan (PI, 110AS-5.6.1-BQ-B1)
  • 2021/01 - 2021/12, Development of Prediction Models for Chemical Migration from Food Contact Materials, NHRI Collaborative Research Program (PI, NHRI-110A1-EMCO-0321214)
  • 2021/01 - 2021/12, Build an in silico skin sensitization prediction platform for pesticides for replacement of animal testing, Taiwan Agricultural Chemicals and Toxic Substances Research Institute, Council of Agriculture, Executive Yuan (PI, 110AS-16.1.1-PI-P2)
  • 2018/08 - 2021/07, Development of a novel mechanism-informed prediction system for chemical-induced neurotoxicity, National Science and Technology Council (PI, NSTC-107-2221-E-400-004-MY3)
  • 2020/01 - 2020/12, Developing artificial intelligence methods for predicting antimicrobial resistance based on whole-genome sequences of Salmonella, Bureau of Animal and Plant Health Inspection and Quarantine, Council of Agriculture, Executive Yuan (PI, 109AS-8.8.1-BQ-B1)
  • 2020/01 - 2020/12, Skin sensitivity evaluation by in silico methods, Taiwan Agricultural Chemicals and Toxic Substances Research Institute, Council of Agriculture, Executive Yuan (PI, 109AS-24.1.2-PI-P3)
  • 2019/01 - 2020/12, Development of Computational Toxicology Methods for Analyzing Toxic Potential of Food Contact Materials, NHRI Collaborative Research Program (PI, NHRI-108A1-EMCO-0319204; NHRI-109A1-EMCO-0319204)
  • 2018/01 - 2018/12, Developing a carcinogenicity prediction method integrating target prediction and mechanism-based models, NHRI Collaborative Research Program (PI, NHRI-107A1-EMCO-0318184)
  • 2017/01 - 2017/12, Developing a mechanism-based system for predicting chemical carcinogenesis, NHRI Collaborative Research Program (PI, NHRI-106A1-PDCO-0317174)
  • 2016/11 - 2017/10, Bioinformatics analysis platform for emerging environmental pollutants, KMU Research Project (PI, KMU-TP105A26)
  • 2016/05 - 2016/12, Toxicogenomics systems for chemical mixtures in foods, NHRI Collaborative Research Program (PI, NHRI-105A1-PDCO-0316164)
  • 2016/01 - 2016/12, The Analysis of PAHs Carcinogenicity and Immunotoxicity from Diesel Engines Fueled with Novel Green Emulsions Combined with Mass Spectrometry Prediction System and Health Risk Assessment, NSYSU-KMU joint Research Project (PI, NSYSUKMU105-I07-3)
  • 2015/10 - 2016/09, Bioinformatics analysis platform for emerging environmental pollutants, KMU Research Project (PI, KMU-TP104A25)
  • 2015/08 - 2018/09, Developing Integrated Prediction Systems for Drug Transdermal Delivery and Sensitization, National Science and Technology Council (PI, NSTC104-2221-E-037-001-MY3)
  • 2015/01 - 2015/12, Development of novel extraction technology from Jatropha curcas and to establish a prediction system for the carcinogenicity and immunotoxicity of biofuels, NSYSU-KMU joint Research Project (PI, NSYSUKMU104-I01-2)
  • 2014/01 - 2014/12, Developing a Privacy-Preserving Prediction System for Drug-Induced Liver Injury, NSYSU-KMU joint Research Project (PI, NSYSUKMU103-P002)
  • 2014/01 - 2014/12, Construction and analysis of hepatotoxicity prediction systems based on chemical-protein interactions, KMU Research Project (PI, KMU-M103009)
  • 2013/01 - 2013/12, The establishment of drug abuse and similar items the items graded with international control database, Taiwan FDA (CI, DOH102-FDA-61102)
  • 2013/01 - 2013/12, Study One Panel of Novel Genes to Predict the Survival of Early-stage Esophageal Cancer Patients, National Health Research Institutes (co-PI, NHRI-EX102-10226PC)
  • 2012/12 - 2013/12, Constructing the database of compounds and activities for Taiwan endemic plants, KMU Research Project (PI, KMU-Q102012)
  • 2012/08 - 2013/07, Effect of areca nut and green tea on esophageal cancer in animal model of NMBA-induced papilloma (Part II ): Study of novel genes associated with green tea and arecoline in animal model of NMBA-induced papilloma by whole genome expression array, NSC Research Project (Co-PI, NSC 101-2313-B-276-001-).
  • 2012/08 - 2013/07, Study of novel genes-associated with the risk of esophageal squamous cell carcinoma by whole genome expression array, NSC Research Project (Co-PI, NSC 101-2314-B-037-043-).
  • 2012/01 - 2013/07, Computational Identification and Analysis of Pupylome Using Bioinformatics, NSC Research Project (PI, NSC 101-2311-B-037-001-MY2).
  • 2011/12 - 2012/12, Integrated Project on Life Pharmacy and Toxicology, Sub-project 2: Construction of toxicological screening platforms for drug development, KMU Research Project (CI, KMU-ER-013).
  • 2011/12 - 2012/12, Developing Bioinformatics Algorithms for the Identification of Biomarkers for Phthalates Exposure, KMU Research Project (PI, KMU-Q110015)
  • 2004/07 - 2005/02, Identification of microRNAs from Phalaenopsis equestris by bioinformatics, NSC College Student Research Project (PI, NSC 93-2815-C-006-084-B).

Scientific Publications

  1. P.H. Wu, Y.F. Tseng, W. Liu, Y.S. Chuang, C.J. Tai, C.W. Tung, K.Y. Lai, M.C. Kuo, Y.W. Chiu, S.J. Hwang, W.C. Hung* and Y.T. Lin* (2024) Exploring the Relationship between Gut Microbiome Composition and Blood Indole-3-acetic Acid in Hemodialysis Patients, Biomedicines, 12(1), 148.
  2. H.L. Kan, S.S. Wang, C.L. Liao, W.R. Tsai, C.C. Wang* and C.W. Tung* (2024) An Integrated Testing Strategy and Online Tool for Assessing Skin Sensitization of Agrochemical Formulations, Toxics, 12(12), 936.
  3. R.H. Lin, P. Lin, C.C. Wang and C.W. Tung* (2024) A Novel Multitask Learning Algorithm for Tasks with Distinct Chemical Space: Zebrafish Toxicity Prediction as an Example, Journal of Cheminformatics, 16(1), 91.
  4. J.F. Kuo, H.Y. Wu, C.W. Tung, W.H. Huang, C.S. Lin and C.C. Wang* (2024) Induction of Thymus Atrophy and Disruption of Thymocyte Development by Fipronil through Dysregulation of IL-7-Associated Genes, Chemical Research in Toxicology, 37(9), 1488–1500.
  5. J.F. Kuo, Y.H. Cheng, C.W. Tung and C.C. Wang* (2024) Fipronil disturbs the antigen-specific immune responses and GABAergic gene expression in the ovalbumin-immunized BALB/c mice, BMC Veterinary Research, 20(1), 30.
  6. S.S. Wang, C.C. Wang, C.L. Wang, Y.C. Lin and C.W. Tung* (2024) Incorporating Tissue-Specific Gene Expression Data to Improve Chemical–Disease Inference of in Silico Toxicogenomics Methods, Journal of Xenobiotics, 14(3), 1023-1035.
  7. S.H. Hung, H.L. Kan, C.W. Tung, Y.C. Lin, T.T. Chen, C. Tian and W. C.W. Chang* (2024) Probing the hair detectability of prohibited substances in sports: an in vivo-in silico-clinical approach and analytical implications compared with plasma, urine, and faeces, Archives of Toxicology, 98, 779-790.
  8. W.C. Huang, W.T. Lin, M.S. Hung, J.C. Lee and C.W. Tung* (2024) Decrypting orphan GPCR drug discovery via multitask learning, Journal of Cheminformatics, 16(1), 10.
  9. Y.W. Chiu, C.W. Tung* and C.C. Wang* (2024) Multitask learning for predicting pulmonary absorption of chemicals, Food and Chemical Toxicology, 185, 114453.
  10. Y.H. Huang, S.Y. Lin, L.C. Ou, W.C. Huang, P.K. Chao, Y.C. Chang, H.F. Chang, P.T. Lee, T.K. Yeh, Y.H. Kuo, Y.W. Tien, J.H. Xi, P.L. Tao, P.Y. Chen, J.Y. Chuang, Chuan Shih, C.T. Chen, C.W. Tung, Horace H. Loh*, S.H. Ueng* and S.H. Yeh* (2024) Discovery of a receptor, mu-opioid modulator that in combination with morphinan antagonists induces analgesia, Cell Chemical Biology, 31(11), 1885-1898.
  11. W.C. Hsiao, G.H. Niu, C.F. Lo, J.Y. Wang, Y.H. Chi, W.C. Huang, C.W. Tung, P.J. Sung*, L. K. Tsou* and M. M. Zhang* (2023) Marine diterpenoid targets STING palmitoylation in mammalian cells, Communications Chemistry, 6(1), 153.
  12. C.C. Wang, Y.T. Hung, C.Y. Chou, S.L. Hsuan, Z.W. Chen, P.Y. Chang, T.R. Jan* and C.W. Tung* (2023) Using random forest to predict antimicrobial minimum inhibitory concentrations of nontyphoidal Salmonella in Taiwan, Veterinary Research, 54(1), 11.
  13. H.P. Weng, C.H. Ke, C.W. Tung, A. Tani, C.C. Wang, W.Y. Yang, Y.S. Wang, W. Han, C.H. Liao, H. Tomiyasu* and C.S. Lin* (2023) Canine diffuse large b-cell lymphoma downregulates the activity of CD8 + T-cells through tumor-derived extracellular vesicles, Cancer Cell International, 23(1), 252.
  14. S.S. Wang, P. Lin, C.C. Wang, Y.C. Lin and C.W. Tung* (2023) Machine Learning for Predicting Chemical Migration from Food Packaging Materials to Foods, Food and Chemical Toxicology, 178, 113942.
  15. P.W. Chang, J.Y. Wang, W.P. Wang, W.C. Huang, M.H. Wu, J.S. Song, L.Y. Chen, C.W. Tung, Y.H. Chi* and S.H. Ueng* (2023) Analysis of structure–activity relationship of indol-3-yl-N-phenylcarbamic amides as potent STING inhibitors, Bioorganic & Medicinal Chemistry, 117502.
  16. C.Y. Chou, P. Lin, J. Kim, S.S. Wang, C.C. Wang* and C.W. Tung* (2022) Ensemble learning for predicting ex vivo human placental barrier permeability, BMC Bioinformatics, 22(10), 629.
  17. S.S. Wang, C.C. Wang and C.W. Tung* (2022) SkinSensPred as a Promising In Silico Tool for Integrated Testing Strategy on Skin Sensitization, International Journal of Environmental Research and Public Health, 19(19), 12856.
  18. C.C. Wang, S.S. Wang, C.L. Liao, W.R. Tsai* and C.W. Tung* (2022) Reconfiguring the Online Tool of SkinSensPred for Predicting Skin Sensitization of Pesticides, Journal of Pesticide Science, 47(4), 184-189.
  19. C.C. Wang, Y.C. Liang, S.S. Wang, P. Lin* and C.W. Tung* (2022) A machine learning-driven approach for prioritizing food contact chemicals of carcinogenic concern based on complementary in silico methods, Food and Chemical Toxicology, 160, 112802.
  20. H.L. Lin, Y.W. Chiu, C.C. Wang* and C.W. Tung* (2022) Computational Prediction of Calu-3-based in vitro Pulmonary Permeability of Chemicals, Regulatory Toxicology and Pharmacology, 135, 105265.
  21. R.H. Lin, C.C. Wang and C.W. Tung* (2022) A Machine Learning Classifier for Predicting Stable MCI Patients Using Gene Biomarkers, International Journal of Environmental Research and Public Health, 19(8), 4839.
  22. W.J. Lee, K.H. Lin, J.S. Wang, Wayne H.H. Sheu, C.C. Shen, C.N. Yang, S.M. Wu, L.W. Shen, S.H. Lee, D.W. Lai, K.L. Lan, C.W. Tung, S.H. Liu and M.L. Sheu* (2022) Aryl hydrocarbon receptor deficiency augments dysregulated microangiogenesis and diabetic retinopathy, Biomedicine & Pharmacotherapy, 155, 113725.
  23. H.L. Kan, C.W. Tung*, S.E. Chang and Y.C. Lin* (2022) In Silico Prediction of Parkinsonian Motor Deficits-related Neurotoxicants based on the Adverse Outcome Pathway Concept, Archives of Toxicology, 96(12), 3305-3314.
  24. T.Y. Chen, H.L. Lin, Y.C. Chang*, Y.W. Chiu, C.T. Lin and C.W. Tung (2022) TMUNLP at the NTCIR-16 FinNum-3 Task: Multi-task Learning on BERT for Claim Detection and Numeral Category Classification, Proceedings of the 16th NTCIR Conference on Evaluation of Information Access Technologies, 103-107.
  25. Y.K. Chen, N. Tran My Ngoc, H.W. Chang, Y.F. Su, C.H. Chen, Y.G. Goan, J. Y.F. Chen, C.W. Tung and T.C. Hour* (2022) Chlorogenic Acid Inhibition of Esophageal Squamous Cell Carcinoma Metastasis via EGFR/p-Akt/Snail Signaling Pathways, Anticancer research, 42, 3389-3402.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. C.W. Tung* and S.S. Wang (2018) ChemDIS 2: an update of chemical-disease inference system, Database (Oxford), 2018, bay077.
  35. 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.
  36. 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.
  37. 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.
  38. 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.
  39. 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.
  40. 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(1), 66.
  41. 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.
  42. 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.
  43. 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.
  44. S.H. Huang and C.W. Tung* (2017) Identification of consensus biomarkers for predicting non-genotoxic hepatocarcinogens, Scientific Reports, 7, 41176.
  45. 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.
  46. 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)
  47. 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.
  48. 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.
  49. 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.
  50. C.W. Tung* (2015) ChemDIS: a chemical-disease inference system based on chemical-protein interactions, Journal of Cheminformatics, 7, 25. (Highly Accessed)
  51. 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.
  52. 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.
  53. 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.
  54. C.W. Tung* (2014) Databases for T-cell epitopes, Methods in Molecular Biology, 1184, 123-134.
  55. 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)
  56. C.W. Tung* and J.L. Jheng (2014) Interpretable prediction of non-genotoxic hepatocarcinogenic chemicals, Neurocomputing, 145, 68-74.
  57. 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)
  58. 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.
  59. 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.
  60. C.W. Tung* (2013) Prediction of pupylation sites using the composition of k-spaced amino acid pairs, Journal of Theoretical Biology, 336, 11-17.
  61. 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.
  62. 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)
  63. 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.
  64. C. Liaw, C.W. Tung and S.Y. Ho* (2013) Prediction and analysis of antibody amyloidogenesis from sequences, PLoS One, 8(1), e53235.
  65. C.W. Tung* (2012) PupDB: a database of pupylated proteins, BMC Bioinformatics, 13, 40. (Highly Accessed)
  66. C.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)
  67. C.W. Tung, C. Liaw, S.J. Ho and S.Y. Ho* (2010) Prediction of protein subchloroplast locations using Random Forests, Proceeding of World Academy of Science, Engineering and Technology, 41, 903-907. (EI)
  68. C. Liaw, C.W. Tung, S.J. Ho and S.Y. Ho* (2010) Sequence-based prediction of gamma-turn types using a physicochemical property-based decision tree method, Proceeding of World Academy of Science, Engineering and Technology, 41, 898-902. (EI)
  69. W.L. Huang, C.W. Tung and S.Y. Ho* (2010) Human Pol II promoter prediction by using nucleotide property composition features, Proceedings of the International Symposium on Biocomputing, 22.
  70. W.L. Huang, C.W. Tung, H.L. Huang and S.Y. Ho* (2009) Predicting protein subnuclear localization using GO-amino-acid composition features, Biosystems, 98(2), 73-79.
  71. K.T. Hsu, H.L.. Huang, C.W. Tung, Y.h. Chen and S.Y. Ho* (2009) Analysis of physicochemical properties on prediction of R5, X4 and R5X4 HIV-1 coreceptor usage, Proceeding of World Academy of Science, Engineering and Technology, 53, 1120-1127. (EI)
  72. C.W. Tung and S.Y. Ho* (2008) Computational identification of ubiquitylation sites from protein sequences, BMC Bioinformatics, 9, 310. (Highly Accessed)
  73. W.L. Huang, C.W. Tung, S.W. Ho and S.Y. Ho* (2008) ProLoc-rGO: Using rule-based knowledge with Gene Ontology terms for prediction of protein subnuclear localization, Computational Intelligence in Bioinformatics and Computational Biology, 2008. CIBCB'08. IEEE Symposium on, 201-206.
  74. W.L. Huang, C.W. Tung, S.W. Ho, S.F. Hwang and S.Y. Ho* (2008) ProLoc-GO: utilizing informative Gene Ontology terms for sequence-based prediction of protein subcellular localization, BMC Bioinformatics, 9, 80.
  75. C.W. Tung and S.Y. Ho* (2007) POPI: predicting immunogenicity of MHC class I binding peptides by mining informative physicochemical properties, Bioinformatics, 23(8), 942-949.
  76. W.L. Huang, C.W. Tung, H.L. Huang, S.F. Hwang and S.Y. Ho* (2007) ProLoc: prediction of protein subnuclear localization using SVM with automatic selection from physicochemical composition features, Biosystems, 90(2), 573-581.
  77. W.C. Tsai, Y.Y. Hsiao, S.H. Lee, C.W. Tung, D.P. Wang, H.C. Wang, W.H. Chen and H.H. Chen* (2006) Expression analysis of the ESTs derived from the flower buds of Phalaenopsis equestris, Plant science, Elsevier, 170(3), 426-432.

Conference Presentations

  1. C.W. Tung* (2025) , The 30th Symposium on Recent Advances in Cellular and Molecular Biology & 30th Anniversary Celebration, Taipei, Taiwan. Jan. 09-11 (Oral). (Invited Speaker)
  2. C.C. Wang*, C.W. Tung, H.L. Kan and S.S. Wang (2024) SkinSensPred: Adverse Outcome Pathway-Based Multitask Learning Model for Human Skin Sensitizers, 24th European Symposium on Quantitative Structure-Activity Relationship (24th EuroQSAR), Barcelona, Spain. Sep 22-26 (Poster).
  3. C.C. Wang, S.S. Wang and C.W. Tung* (2024) Benchmarking In Silico Methods for Identifying Chemicals of Developmental Neurotoxicity Concern, 22 nd International Congress of the European Society of Toxicology In Vitro (ESTIV 2024), Prague, Czech Republic. Jun 3-6 (Oral).
  4. C.W. Tung*, C.C. Wang, H.L. Kan, R.H. Lin, S.S. Wang and P. Lin (2024) Innovative Virtual Zebrafish Platform: Integrating QSAR and In Silico Toxicogenomics for Drug Discovery and Safety, 24th European Symposium on Quantitative Structure-Activity Relationship (24th EuroQSAR), Barcelona, Spain. Sep 22-26 (Poster).
  5. C.W. Tung* (2024) Unlocking Orphan GPCR Drug Discovery via Multitask Learning, 2024 Annual Meeting of MOHW Cancer Research Projects and International Symposium on New Frontier Technology in Cancer Care, Taipei, Taiwan. Dec. 07 (Oral). (Invited Speaker)
  6. C.W. Tung* (2024) Construction of experimental animal management system and humane use of management tools, 18th Annual Meeting of the Chinese-Taipei Society of Laboratory Animal Sciences (CSLAS), Taipei, Taiwan. Oct. 24-25 (Oral). (Invited Speaker)
  7. W.T. Lin and C.W. Tung* (2024) Enhancing LLM-derived Drug Side Effect Predictions with MeSH Term Descriptions, 2024 The Regional Asian Clinical Trial Association Forum, Taipei City, Taiwan. August 2-3 (Poster).
  8. W.T. Lin and C.W. Tung* (2024) LLM-Derived Task Features for Multitask Prediction of Drug Side Effects: Constipation as an Example, 1st Asia&Pacific Bioinformatics Joint Conference (APBJC2024), Okinawa, Japan. Oct 22-25 (Poster).
  9. Y.C. Ho, C.W. Tung, M.H. Tsai, C.Y. Weng, J.H. Hsu, H.J. Cheng, B Linju Yen and P. Lin* (2024) Evaluation of Embryotoxicity of Thiram with Alternative Methodologies, 22 nd International Congress of the European Society of Toxicology In Vitro (ESTIV 2024), Prague, Czech Republic. Jun 3-6 (Poster).
  10. H.L. Kan, S.S. Wang and C.W. Tung* (2024) ZFinfer: An Innovative Chemical-Phenotype Inference System on Zebrafish to Fill Data Gaps in Environmental Pollutant Research, 2024 NHRI Research Day, Miaoli City, Taiwan. Mar 18-19 (Poster).
  11. H.L. Kan, S.S. Wang and C.W. Tung* (2024) Inferring potential effects of PFASs via a novel chemical-phenotype inference system ZFinfer, ASCCT 13th Annual Meeting, Research Triangle Park, NC, USA. Oct 28-30 (Poster).
  12. W.C. Huang, M.S. Hung, J.C. Lee, W.T. Lin and C.W. Tung* (2024) Artificial Intelligence for Orphan GPCR Drug Discovery: GPRC5A and GPRC5B as Examples, 2024 NHRI Research Day, Miaoli City, Taiwan. Mar 18-19 (Poster).
  13. W.C. Hsiao, G.H. Niu, C.F. Lo, J.Y. Wang, Y.H. Chi, W.C. Huang, C.W. Tung, P.J. Sung, L. K. Tsou and M. M. Zhang* (2024) Target Identification of a Marine Natural Product Using a Chemoproteomics Approach, The 38th Joint Annual Conference of Biomedical Science, Taipei, Taiwan. Mar 23-24 (Poster).
  14. C.M. Ho, P.C. Lyu and C.W. Tung* (2024) Mechanism-based multitask learning for predicting cardiotoxicity, 2024 NTHU-NHRI Joint Research Conference, NHRI, Miaoli, Taiwan. Nov 25 (Poster).
  15. C.W. Tung* (2024) Artificial Intelligence in Medicinal Chemistry, 2024 Bioorganic Chemistry and Chemical Biology Conference, Pingtung City, Taiwan. Aug 21-23. (Oral). (Invited Speaker)
  16. C.W. Tung*, S.S. Wang, C.C. Wang and C.L. Wang (2023) Incorporating tissue-specific expression data of genes and proteins to improve chemical-disease inference, 22nd International Conference on Bioinformatics (InCoB 2023),Brisbane, Australia. Nov 12-15 (poster).
  17. C.W. Tung* (2023) Integrating complementary computational models for predicting chemical toxicity, 2023 Cross-Strait Toxicology Conference, Zhuhai, China. Apr. 8 (Oral). (Invited Speaker)
  18. C.W. Tung* (2023) Application of Artificial Intelligence in Food Safety Assessment, ILSI Taiwan 2023 Annual Meeting & Scientific Symposium, Taipei, Taiwan. Jul 28 (Oral). (Invited Speaker)
  19. C.W. Tung* (2023) Leveraging AI for Predicting Biological Effects of Chemicals: Challenges and Opportunities, The 13th Annual Symposium of Graduate Institutes of Clinical Medicine: Translational Medicine and Big Data, Hualien, Taiwan. Jul 22 (Oral). (Keynote Speaker)
  20. C.W. Tung* (2023) Multitask Learning for Addressing Low Data Issues in Predicting Chemical Bioactivity and Toxicology, The 10th International Congress of Asian Society of Toxicology (ASIATOX-X), Taipei, Taiwan. Jul 17-20 (Oral). (Invited Speaker)
  21. W.T. Lin and C.W. Tung* (2023) Developing a User-friendly Computer Application for Accelerating Drug Design and Discovery, 2023 NHRI Research Day, Miaoli City, Taiwan. Mar 21-22 (Poster).
  22. R.H. Lin, C.C. Wang, P. Lin and C.W. Tung* (2023) A Novel Multitask Learning Framework for Tasks with Distinct Chemical Space: Zebrafish Toxicology Prediction as an Example, 20th International Workshop on (Q)SAR in Environmental and Health Sciences (QSAR2023), Copenhagen, Denmark. Jun 5-9 (Oral).
  23. H.L. Kan, S.S. Wang, C.C. Wang and C.W. Tung* (2023) ChemDIS-ZF: a computational chemical–disease inference system for zebrafish, 12th World Congress on Alternatives and Animal Use in the Life Sciences (WC12), Niagara Falls, Canada. Aug 27-31 (Oral).
  24. H.L. Kan, S.S. Wang, C.C. Wang and C.W. Tung* (2023) Development and validation of a novel computational system for predicting zebrafish phenotypes associated with chemical exposure, The 10th International Congress of Asian Society of Toxicology (ASIATOX-X), Taipei, Taiwan. Jul 17-20 (Oral).
  25. W.C. Huang, W.T. Lin, M.S. Hung, J.C. Lee and C.W. Tung* (2023) Enabling Orphan GPCR Drug Discovery via Multitask Learning, 2023 NHRI Research Day, Miaoli City, Taiwan. Mar 21-22 (Poster).
  26. C.C. Ho, C.W. Tung, M.H. Tsai, C.Y. Weng, J.H. Hsu, H.J. Cheng, L. Yen and P. Lin* (2023) Integrated alternative approaches for assessing potential embryonic toxicity of food contact materials - thiram as an example, The 10th International Congress of Asian Society of Toxicology, Taipei, Taiwan. July 17-20 (Poster).
  27. H.K. Fan, W.C. Li, C.L. Lin, S.S. Wang, C.L. Liao, W.R. Tsai, C.W. Tung* and C.C. Wang* (2023) A novel integrated testing strategy for classifying skin sensitizers of pesticides using SkinSensPred and in vitro assay, 22nd International Conference on Bioinformatics (InCoB 2023),Brisbane, Australia. Nov 12-15 (poster).
  28. Y.W. Chiu, C.W. Tung* and C.C. Wang* (2023) Multitask learning for predicting pulmonary absorption of chemicals, 20th International Workshop on (Q)SAR in Environmental and Health Sciences (QSAR2023), Copenhagen, Denmark. Jun 5-9 (Oral).
  29. W.C. Li, C.L. Lin, S.S. Wang, C.L. Liao, W.R. Tsai, C.W. Tung* and C.C. Wang* (2022) An efficient integrated testing strategy for classifying skin sensitizers of pesticides, 17th Annual Meeting of the Chinese-Taipei Society of Laboratory Animal Sciences (CSLAS), Taipei, Taiwan. Oct. 26-27 (Poster).
  30. C.W. Tung* (2022) Artificial Intelligence for zebrafish research, 17th Annual Meeting of the Chinese-Taipei Society of Laboratory Animal Sciences (CSLAS), Taipei, Taiwan. Oct. 26-27 (Oral). (Invited Speaker)
  31. C.W. Tung* (2022) Integrating complementary methods for toxicity prediction, OpenTox 2022 Virtual Conference, Online. Sep 14-16 (Oral). (Invited Speaker)
  32. C.W. Tung* (2022) Prediction of chemical toxicity via integration of complementary computational methods, International Conference on New Knowledge and Application of Biomedicine Online Conference, Taichung, Taiwan. Sep 14 (Oral). (Invited Speaker)
  33. S.S. Wang, C.C. Wang and C.W. Tung* (2022) Incorporation of Tissue-specific Gene Expression Improved the In Silico Toxicogenomics Analysis of Endocrine Disrupting Chemicals, 2022 International Symposium of Precision Environmental Medicine, Taipei, Taiwan. Oct 14 (Poster). (Excellent Paper Award)
  34. H.L. Lin, C.W. Tung* and M.H. Hsu* (2022) Using the Aligned Variational Autoencoders for Chemical Toxicity Prediction, 2022 Teacher and Student Joint Academic Research Symposium, Taipei Medical University, Taipei, Taiwan. May 9-May 13 (Poster).
  35. W.T. Lin, S.E. Chang and C.W. Tung* (2022) Development of Artificial Intelligence Platforms for Drug Design and Discovery, 2022 NHRI Research Day, Miaoli City, Taiwan. Mar 22-23 (Poster).
  36. P.I. Liang, C.C. Wang, S.S. Wang, Y.C. Lin* and C.W. Tung* (2022) Analysis of hallmarks of cancer initiated after exposure to non-genotoxic hepatocarcinogens using toxicogenomics data, The 20th Asia Pacific Bioinformatics Conference (APBC2022), Malaysia. Apr 26-28 (Poster).
  37. H.L. Kan, C.W. Tung* and Y.C. Lin* (2022) Computational Identification of Parkinsonian Neurotoxins Using an Integrated Model Based on Adverse Outcome Pathway Concept, The 36th Joint Annual Conference of Biomedical Science, Taipei, Taiwan. Mar 25-27 (Oral).
  38. C.W. Tung* (2021) Artificial Intelligence for Predicting Chemical Toxicology, 2021 NHRI-NTHU Joint Research Conference, Miaoli County, Taiwan. Nov. 29 (Oral). (Invited Speaker)
  39. C.W. Tung* (2021) Application of Computer Prediction Models for Compound Toxicity Analysis, Challenges and Maps—Promoting 3Rs Alternative to Animal Experiments in Taiwan, Online. Nov. 20-21 (Oral). (Invited Speaker)
  40. C.W. Tung* (2021) Artificial Intelligence in Toxicology, 2021 Cross-Strait Predictive Toxicology Conference: Implication of Toxicology in Good Health and Well-Being, Online. Nov. 27 (Oral). (Invited Speaker)
  41. R.H. Lin and C.W. Tung* (2021) Identification of Biomarkers for Predicting the Conversion of Mild Cognitive Impairment to Alzheimer‘s Disease Patients Using Machine Learning Algorithm, 2021 Teacher and Student Joint Academic Research Symposium, Taipei Medical University, Taipei, Taiwan. May 10-May 14 (Poster).
  42. H.L. Lin, C.C. Wang and C.W. Tung* (2021) Computational Prediction of Pulmonary Permeability of Chemicals, 11th Congress of Toxicology in Developing Countries (CTDC11), Kuala Lumpur, Malaysia. Jun 13-16 (Poster).
  43. H.L. Kan, C.W. Tung, Y.C. Chen and Y.C. Lin* (2021) Mycobacterium Pup-ligase PafA as a Potential Target for Mycobacterial Infections, the 14th Asia Pacific Federation of Pharmacologists (APFP), Taipei, Taiwan. Nov 26-29 (Poster).
  44. H.L. Kan, C.W. Tung, Y.C. Chen and Y.C. Lin* (2021) In silico and in vitro screening of PafA inhibitors as antimycobacterial agents, 31st European Congress of Clinical Microbiology & Infectious Diseases (ECCMID), Vienna, Austria. Jul 9-12 (Poster).
  45. Y.W. Huang and C.W. Tung* (2021) Developing Transfer Learning Method for Improving Natural Language Processing-based Neurotoxicity Prediction, 2021 Teacher and Student Joint Academic Research Symposium, Taipei Medical University, Taipei, Taiwan. May 10-May 14 (Poster).
  46. C.Y. Chou, S.S. Wang, C.C. Wang and C.W. Tung* (2021) Predicting Antimicrobial Resistance of Salmonella Based on Machine Learning and Whole-Genome Sequencing Data, 2021 Teacher and Student Joint Academic Research Symposium, Taipei Medical University, Taipei, Taiwan. May 10-May 14 (Poster). (Poster award: 3rd place)
  47. C.Y. Chou, P. Lin, J. Kim, S.S. Wang, C.C. Wang* and C.W. Tung* (2021) Ensemble learning for predicting ex vivo human placental barrier permeability, The 19th Asia Pacific Bioinformatics Conference (APBC2021), Tainan, Taiwan. Feb 3-5 (Oral).
  48. H.L. Kan, S.S. Wang, C.C. Wang, Y.C. Lin* and C.W. Tung* (2020) Computational assessment of potential neurotoxicity associated with cosmetics preservatives, 2020 Taiwan Academic Network Conference (TANET2020), Taipei, Taiwan. Oct 28-30 (Poster).
  49. C.Y. Chou, P.P. Lin, J. Kim, S.S. and W. , C.C. Wang* and C.W. Tung* (2020) An Ensemble Method for Predicting Placental Transfer of Chemicals, 2020 Teacher and Student Joint Academic Research Symposium, Taipei Medical University, Taipei, Taiwan. Oct 30-Nov 6 (Poster).
  50. C.W. Tung* (2019) Prediction of Skin Sensitizers by Incorporating Mechanism Information, The 1st Winter Camp Congress of The Taiwan Society of Toxicology, Kenting, Taiwan. Jan 26–28 (Oral). (Invited Speaker)
  51. C.C. Wang, S.S. Wang and C.W. Tung* (2019) A visualization system for navigating neurotoxic effects of chemicals in ChemDIS: Fipronil as a case study, The 12th International Biocuration Conference, Cambridge, UK. Apr 7-10 (Poster).
  52. H.L. Kan, Y.C. Lin, C.C. Wang and C.W. Tung* (2019) Developing a QSAR model for predicting neurotoxic agents, The 15th International Congress of Toxicology (ICTXV), Honolulu, Hawaii. Jul 15–18 (Poster).
  53. H.L. Kan, Y.C. Lin, C.C. Wang and C.W. Tung* (2019) Computational Screening of Chemicals Toxic to Neuronal Cells, The 1st Winter Camp Congress of The Taiwan Society of Toxicology, Kenting, Taiwan. Jan 26–28 (Poster). (Honorable Mention)
  54. C.W. Tung* (2018) Artificial Intelligence as Alternatives to Animal Testing, 15th Annual Meeting of the Chinese-Taipei Society of Laboratory Animal Sciences (CSLAS), Taipei, Taiwan. Nov. 15-16 (Oral). (Invited Speaker)
  55. C.W. Tung* (2018) ChemDIS: in silico analysis of chemical-disease association, OpenTox Asia 2018, Tokyo, Japan. May 24-25 (Oral). (Invited Speaker)
  56. C.W. Tung* and S.S. Wang (2018) Leveraging Alternative Assays for Predicting Skin Sensitizers, 2018 International Conference on Computational Chemistry and Toxicology in Environmental Science (2018CCTES), Taichung, Taiwan. May 4-6 (Oral). (Invited Keynote Speaker)
  57. 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, 22nd Pacific Asia Conference on Information Systems (PACIS 2018), Yokohama, Japan. Jun 26-30 (Oral).
  58. C.W. Tung*, Pinpin Lin and C.C. Wang (2017) Knowledge-based Prediction of Chemical-induced Sustained Proliferation, 2017 2nd International Conference on Biomedical Signal and Bioinformatics (ICBSB 2017), Auckland, New Zealand. Nov 27-30 (Oral). (Best Presentation Award)
  59. C.W. Tung* (2017) Effect of maleic acid on microrna expression in human neuroblastoma cells, 12th International Neuroscience and Biological Psychiatry Regional ISBS Conference, Yokohama, Japan. Jul 24-25 (Oral).
  60. S.H. Huang and C.W. Tung* (2017) Prediction of non-genotoxic hepatocarcinogens using consensus biomarkers, The 32th Joint Annual Conference of Biomedical Science, Taipei, Taiwan. Mar 25-26 (Oral).
  61. S.H. Hsu, C.W. Tung* and O.Y. Fu (2017) The effects of antiresorptive agents on the survival of patients with breast cancer and bone metastasis– a single medical center experience, The 22nd Taiwan Joint Cancer Conference, Taipei, Taiwan. May 6-7 (Poster).
  62. W.L. Hsu and C.W. Tung* (2017) Predicting the risk for drug-induced G6PD-deficiency related hemolysis, The 32th Joint Annual Conference of Biomedical Science, Taipei, Taiwan. Mar 25-26 (Poster).
  63. R.C. Hsiao, C.W. Tung, K.P. Hsieh and C.C. Wang* (2017) The inferred off-target effects of anti-osteoporosis drugs by ChemDIS and CTD, The 32th Joint Annual Conference of Biomedical Science, Taipei, Taiwan. Mar 25-26 (Poster).
  64. Y.H. Cheng, Y.C. Lin, C.W. Tung and C.C. Wang* (2017) Caryophyllene oxide attenuates local and systemic T cell-mediated immune responses in ovalbumin-sensitized BALB/c mouse models, The 32th Joint Annual Conference of Biomedical Science, Taipei, Taiwan. Mar 25-26 (Poster).
  65. Y.H. Cheng, Y.C. Lin, C.W. Tung and C.C. Wang* (2017) Caryophyllene oxide attenuates local and systemic T cell-mediated immune responses in ovalbumin-sensitized BALB/c mouse models, The 32th Joint Annual Conference of Biomedical Science, Taipei, Taiwan. Mar 25-26 (Poster).
  66. H.F. Wu, Y.C. Chang and C.W. Tung* (2016) Mining structural and physicochemical features for drug-induced glucose-6-phosphate dehydrogenase deficiency-related hemolysis, The 31th Joint Annual Conference of Biomedical Science, Taipei, Taiwan. Mar 26-27 (Oral).
  67. 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, 4th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2016), Granada, Spain. Apr 20-22 (Oral).
  68. C.W. Tung*, M.J. Tsai, W.N. Chen and Y.H. Lin (2016) Developing an Integrative Pharmacogenomics Analysis Framework for Personalized Medicine, Fifteenth Annual Bio-IT World Conference & Expo (Bio-IT 2016), Boston, USA. Apr 5-7 (Poster).
  69. C.W. Tung (2016) ChemDIS:化合物相關疾病分析系統, 2016 Cross-Strait Predictive Toxicology Conference: Environment, Food and Health, National Chung Hsing University, Taichung, Taiwan. May 5-7 (Oral).
  70. M.J. Tsai*, C.W. Tung, W.N. Chen and Y.H. Lin (2016) An Integrative Approach for Identifying Cancer-Specific Immunogenic Epitopes, Fifteenth Annual Bio-IT World Conference & Expo (Bio-IT 2016), Boston, USA. Apr 5-7 (Poster).
  71. W.L. Hsu and C.W. Tung* (2016) Investigating interaction networks for drug-induced G6PD-deficiency related hemolysis, The 31th Joint Annual Conference of Biomedical Science, Taipei, Taiwan. Mar 26-27 (Poster).
  72. C.W. Tung*, C.C. Wang, Y.C. Lin and S.S. Wang (2016) Developing a curated database for skin sensitizers by incorporating adverse outcome pathways, OpenTox Euro 2016, Rheinfelden, Germany. Oct 26-28 (Oral).
  73. Y.H. Cheng, C.C. Wang*, I.S. Chen, Y.C. Lin and C.W. Tung (2016) Attenuation of antigen-specific Th1 immunity by Neolitsea hiiranensis derived sesquiterpenes, EAACI Congress 2016, Vienna, Austria. Jun 11-15 (Poster).
  74. C.R. Chen and C.W. Tung* (2016) 開發用於分析 Aminoglycoside 藥物血中濃度監測量表, 2016 Cross-Strait Predictive Toxicology Conference: Environment, Food and Health, National Chung Hsing University, Taichung, Taiwan. May 5-7 (Poster).
  75. C.W. Tung*, Y.C. Wang and C.C. Wang (2015) 以計算方法預測化合物穿皮能力, 8th Cross-Strait Toxicology Conference, Wuhan, China. Oct 25-28 (Poster).
  76. C.W. Tung (2015) Toxicoinformatics Tools for Studying Endocrine Disruption Effects of Pesticides, 104年農藥內分泌干擾作用專題研討會, 行政院農業委員會農業藥物毒物試驗所, Taichung, Taiwan. Sep. 30 (Oral).
  77. C.W. Tung*, Y.C. Wang and C.C. Wang (2015) Computational Prediction of Skin Permeability of Chemicals, The 30th Joint Annual Conference of Biomedical Science, Taipei, Taiwan. Mar 21-22 (Poster).
  78. Y.H. Kuo and C.W. Tung* (2015) 藉由蛋白質交互作用研究抗發炎藥物可能的脫靶效應, Annual Meeting of the Pharmaceutical Society of Taiwan, Tainan, Taiwan. Nov 14 (Poster).
  79. S.H. Huang and C.W. Tung* (2015) Identification of consensus biomarkers for non-genotoxic hepatocarcinogens, 7th Asian Association of Schools of Pharmacy (AASP) Conference, Taipei City, Taiwan. Oct 30-Nov 2 (Poster).
  80. H.F. Wu, 楊璦瑜, Y.C. Chang, 黃學楊 and C.W. Tung* (2014) 導致G6PD缺乏症溶血性貧血藥物類別分析, Annual Meeting of the Pharmaceutical Society of Taiwan, Kaohsiung, Taiwan. Dec 13 (Poster).
  81. Y.C. Wang and C.W. Tung* (2014) Computational Prediction of Skin Permeability Coefficient of Chemicals and Evaluation of Important Structure Descriptors, Annual Meeting of the Pharmaceutical Society of Taiwan, Kaohsiung, Taiwan. Dec 13 (Poster).
  82. C.W. Tung* (2014) Acquiring decision rules for predicting Ames-negative hepatocarcinogens using chemical-chemical interactions, Eighth IAPR International Conference on Pattern Recognition in Bioinformatics, Stockholm, Sweden. Aug 21-23 (Oral).
  83. C.W. Tung*, Y.C. Lin, I.S. Chen, C.C. Wang, J.L. Jheng and J.H. Li (2014) Three-dimensional structure database of phytochemicals from Taiwan indigenous plants, The 29th Joint Annual Conference of Biomedical Science, Taipei, Taiwan. Mar 15-16 (Poster).
  84. Y.C. Lin*, C.Y. Lu and C.W. Tung (2014) Proteomic analyses of Staphylococcus aureus biofilm from a porcine mucosal infection model, Gordon Research Conferences on New Antibacterial Discovery & Development, Ventura, CA, USA. Mar 16-21 (Poster).
  85. C.W. Tung* (2013) Comparative analysis of prediction models for non-genotoxic hepatocarcinogenicity using chemical-protein interactions and toxicogenomics, 7th Cross-Strait Toxicology Conference, Taipei, Taiwan. Sep 13-14 (Poster).
  86. C.W. Tung* (2013) Prediction of non-genotoxic hepatocarcinogenicity using chemical-protein interactions, Eighth IAPR International Conference on Pattern Recognition in Bioinformatics, Valrose Castle, Nice, France. Jun 17-20 (Oral).
  87. Y.C. Lin, C.C. Wang, I.S. Chen, J.H. Li, J.L. Jheng and C.W. Tung* (2013) The database of anti-cancer, anti-platelet, and anti-tuberculosis phytochemicals from indigenous plants in Taiwan, The 28th Joint Annual Conference of Biomedical Science, Taipei, Taiwan. Mar 23-24 (Poster).
  88. C.W. Tung* (2012) Computational identification and analysis of pupylation sites, International Conference on Bioinformatics and Computational Biology (BIOCOMP BG 2012), Varna, Bulgaria. Sep 20-21 (Poster). (Poster award: 3rd place)
  89. C. Liaw, C.W. Tung and S.Y. Ho* (2012) Computational identification of important features for predicting antibody amyloidogenesis, The 6th Asian Young Researchers Conference on Computational and Omics Biology (AYRCOB2012), Shenzhen, China. Dec 20-21 (Poster).
  90. S.H. Huang, C.W. Tung and J.H. Li* (2012) In silico screening the hepatotoxic potential of the active compounds of traditional Chinese medicines, Annual Meeting of the Pharmaceutical Society of Taiwan, Taichung, Taiwan. Nov 25 (Poster).
  91. C.W. Tung, C. Liaw, S.J. Ho and S.Y. Ho* (2010) Prediction of protein subchloroplast locations using Random Forests, International Conference on Computational Biology (ICBB2010), Tokyo, Japan. May 26-28 (Oral).
  92. C. Liaw, C.W. Tung, S.J. Ho and S.Y. Ho* (2010) Sequence-based prediction of gamma-turn types using a physicochemical property-based decision tree method, International Conference on Computational Biology (ICBB2010), Tokyo, Japan. May 26-28 (Oral).
  93. W.L. Huang, C.W. Tung and S.Y. Ho* (2010) Human Pol II promoter prediction by using nucleotide property composition features, International Symposium on Biocomputing (ISB '10), Calicut, Kerala, India. Feb 15-17 (Oral).
  94. K.T. Hsu, H.L.. Huang, C.W. Tung, Y.h. Chen and S.Y. Ho* (2009) Analysis of physicochemical properties on prediction of R5, X4 and R5X4 HIV-1 coreceptor usage, International Conference on Bioinformatics and Bioengineering (ICBB), Tokyo, Japan. May 27-29 (Oral).
  95. W.L. Huang, C.W. Tung, S.W. Ho and S.Y. Ho* (2008) ProLoc-rGO: Using rule-based knowledge with Gene Ontology terms for prediction of protein subnuclear localization, IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB'08), Sun Valley Idaho, USA, Sep 15-17 (Oral).
  96. C.W. Tung (2007) POPI: predicting immunogenicity of MHC class I binding peptides by mining informative physicochemical properties, Academic symposium of biotechnology, National Chiao Tung University, Hsinchu, Taiwan. (Oral). (Invited Speaker)
  97. C.W. Tung and S.Y. Ho* (2007) Mining physicochemical properties for predicting immunogenicity of MHC class II binding peptides, 18th International Conference on Genome Informatics (GIW2007), Biopolis, Singapore. Dec 3-5 (Poster).
  98. Y.Y. Hsiao, W.C. Tsai, C.W. Tung, Y.F. Chiu, Z.J.. Pan, W.H. Chen and H.H. Chen* (2004) Gene expression during Phalaenopsis embryo development, International Symposium on Agricultural Genomics and Biotechnology. Tainan, Taiwan. Oct 28-30 (Poster).

Invited Talks (only some of them)

  1. C.W. Tung (2022) In silico analysis of mixture effects using ChemDIS, OpenTox Summer School, Virtual. Aug 3.
  2. C.W. Tung (2018) ChemDIS-Mixture: analyzing potential interaction effects of chemical mixtures, Seminar, Korea Research Institute of Chemical Technology (KRICT), Daejeon, Korea. Oct 10.
  3. C.W. Tung (2014) Chemical-disease inference using Comparative Toxicogenomics Database, 毒理學家研習課程 Regulatory Toxicology and Toxinformatics, National Taiwan University, Taipei, Taiwan. September 4.