BioCompLab

Principal Investigator

Postdocs

Research Assistant

Ph.D. Student

Master Student

Alumni

Shan-Shan Wang (王珊珊)

Ph.D. Student (2022/08-current)

Ph.D. Program in Environmental and Occupational Medicine,
Kaohsiung Medicial University, Taiwan
Email: u111803002@kmu.edu.tw

    Education:

  • 2008/07 - 2010/07, M.S., Institute of Statistics, National University of Kaohsiung, Kaohsiung, Taiwan
  • 2004/09 - 2008/06, B.S., Department of Applied Mathematics, National University of Kaohsiung, Kaohsiung, Taiwan

    Experience:

  • 2021/08 - 2022/08, Research Assistant, Institute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, Miaoli, Taiwan
  • 2020/01 - 2021/07, Research Assistant, Graduate Institute of Data Science, College of Management, Taipei Medical University, Taipei, Taiwan
  • 2019/02 - 2019/12, Research Assistant, Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan
  • 2015/07 - 2019/01, Research Assistant, School of Pharmacy, College of Pharmacy, Kaohsiung Medical University, Kaohsiung, Taiwan

    Professional Certification and Awards:

  • 2022 - Excellent Paper Award, 2022 International Symposium of Precision Environmental Medicine - Endocrine Disrupting Chemicals and Health (ISPEM 2012), Taipei, Taiwan.

Scientific Publications

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. C.W. Tung* and S.S. Wang (2018) ChemDIS 2: an update of chemical-disease inference system, Database (Oxford), 2018, bay077.
  13. 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.
  14. 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.
  15. 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.

Conference Presentations

  1. 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).
  2. 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).
  3. 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).
  4. 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).
  5. 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).
  6. 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).
  7. 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).
  8. 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).
  9. 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).
  10. 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).
  11. 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)
  12. 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).
  13. 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)
  14. 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).
  15. 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).
  16. 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).
  17. 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)
  18. 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).