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Items: 1 to 20 of 33

1.

Transfer learning for predicting human skin sensitizers.

Tung CW, Lin YH, Wang SS.

Arch Toxicol. 2019 Apr;93(4):931-940. doi: 10.1007/s00204-019-02420-x. Epub 2019 Feb 26.

PMID:
30806762
2.

Human immunodeficiency virus Tat-TIP30 interaction promotes metastasis by enhancing the nuclear translocation of Snail in lung cancer cell lines.

Liu YP, Chen CH, Yen CH, Tung CW, Chen CJ, Chen YA, Huang MS.

Cancer Sci. 2018 Oct;109(10):3105-3114. doi: 10.1111/cas.13768. Epub 2018 Sep 3.

3.

ChemDIS 2: an update of chemical-disease inference system.

Tung CW, Wang SS.

Database (Oxford). 2018 Jan 1;2018. doi: 10.1093/database/bay077.

4.

ChemDIS-Mixture: an online tool for analyzing potential interaction effects of chemical mixtures.

Tung CW, Wang CC, Wang SS, Lin P.

Sci Rep. 2018 Jul 3;8(1):10047. doi: 10.1038/s41598-018-28361-6.

5.

Discovery of Pyrazolo[4,3-c]quinolines Derivatives as Potential Anti-Inflammatory Agents through Inhibiting of NO Production.

Tseng CH, Tung CW, Peng SI, Chen YL, Tzeng CC, Cheng CM.

Molecules. 2018 Apr 28;23(5). pii: E1036. doi: 10.3390/molecules23051036.

6.

Mechanism-informed read-across assessment of skin sensitizers based on SkinSensDB.

Tung CW, Wang CC, Wang SS.

Regul Toxicol Pharmacol. 2018 Apr;94:276-282. doi: 10.1016/j.yrtph.2018.02.014. Epub 2018 Feb 24.

PMID:
29486270
7.

Identification of informative features for predicting proinflammatory potentials of engine exhausts.

Wang CC, Lin YC, Lin YC, Jhang SR, Tung CW.

Biomed Eng Online. 2017 Aug 18;16(Suppl 1):66. doi: 10.1186/s12938-017-0355-6.

8.

Discovery of Indeno[1,2-c]quinoline Derivatives as Potent Dual Antituberculosis and Anti-Inflammatory Agents.

Tseng CH, Tung CW, Wu CH, Tzeng CC, Chen YH, Hwang TL, Chen YL.

Molecules. 2017 Jun 16;22(6). pii: E1001. doi: 10.3390/molecules22061001.

9.

Profiling transcriptomes of human SH-SY5Y neuroblastoma cells exposed to maleic acid.

Wang CC, Lin YC, Cheng YH, Tung CW.

PeerJ. 2017 Apr 5;5:e3175. doi: 10.7717/peerj.3175. eCollection 2017.

10.

Attenuation of antigen-specific T helper 1 immunity by Neolitsea hiiranensis and its derived terpenoids.

Cheng YH, Chen IS, Lin YC, Tung CW, Chang HS, Wang CC.

PeerJ. 2016 Dec 7;4:e2758. doi: 10.7717/peerj.2758. eCollection 2016.

11.

SkinSensDB: a curated database for skin sensitization assays.

Wang CC, Lin YC, Wang SS, Shih C, Lin YH, Tung CW.

J Cheminform. 2017 Jan 31;9:5. doi: 10.1186/s13321-017-0194-2. eCollection 2017.

12.

Identification of consensus biomarkers for predicting non-genotoxic hepatocarcinogens.

Huang SH, Tung CW.

Sci Rep. 2017 Jan 24;7:41176. doi: 10.1038/srep41176.

13.

Determination of cannabinoids in hemp nut products in Taiwan by HPLC-MS/MS coupled with chemometric analysis: quality evaluation and a pilot human study.

Chang CW, Tung CW, Tsai CC, Wu YT, Hsu MC.

Drug Test Anal. 2017 Jun;9(6):888-897. doi: 10.1002/dta.2062. Epub 2016 Sep 29.

PMID:
27590030
14.

Plasma matrix metalloproteinase 1 improves the detection and survival prediction of esophageal squamous cell carcinoma.

Chen YK, Tung CW, Lee JY, Hung YC, Lee CH, Chou SH, Lin HS, Wu MT, Wu IC.

Sci Rep. 2016 Jul 20;6:30057. doi: 10.1038/srep30057.

15.

ChemDIS: a chemical-disease inference system based on chemical-protein interactions.

Tung CW.

J Cheminform. 2015 Jun 15;7:25. doi: 10.1186/s13321-015-0077-3. eCollection 2015.

16.

Developing a QSAR model for hepatotoxicity screening of the active compounds in traditional Chinese medicines.

Huang SH, Tung CW, Fülöp F, Li JH.

Food Chem Toxicol. 2015 Apr;78:71-7. doi: 10.1016/j.fct.2015.01.020. Epub 2015 Feb 4.

PMID:
25660478
17.

An in silico toxicogenomics approach for inferring potential diseases associated with maleic acid.

Lin YC, Wang CC, Tung CW.

Chem Biol Interact. 2014 Nov 5;223:38-44. doi: 10.1016/j.cbi.2014.09.004. Epub 2014 Sep 17.

PMID:
25239558
18.

Databases for T-cell epitopes.

Tung CW.

Methods Mol Biol. 2014;1184:123-34. doi: 10.1007/978-1-4939-1115-8_6.

PMID:
25048121
19.

A testing strategy to predict risk for drug-induced liver injury in humans using high-content screen assays and the 'rule-of-two' model.

Chen M, Tung CW, Shi Q, Guo L, Shi L, Fang H, Borlak J, Tong W.

Arch Toxicol. 2014 Jul;88(7):1439-49. doi: 10.1007/s00204-014-1276-9. Epub 2014 Jun 11.

20.

Rule-based knowledge acquisition method for promoter prediction in human and Drosophila species.

Huang WL, Tung CW, Liaw C, Huang HL, Ho SY.

ScientificWorldJournal. 2014;2014:327306. doi: 10.1155/2014/327306. Epub 2014 Jan 29.

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