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    顯示項目1-23 / 23. (共1頁)
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    日期題名關聯
    2024-08-14 Induction of thymus atrophy and disruption of thymocyte development by fipronil through dysregulation of IL-7-associated genes Chemical Research in Toxicology. 2024 Aug 14;Article in Press.
    2024-08-02 A novel multitask learning algorithm for tasks with distinct chemical space: zebrafish toxicity prediction as an example Journal of Cheminformatics. 2024 Aug 02;16:Article number 91.
    2024-07-31 Incorporating tissue-specific gene expression data to improve chemical-disease inference of in silico toxicogenomics methods Journal of Xenobiotics. 2024 Jul 31;14(3):1023-1035.
    2024-07-17 Discovery of a mu-opioid receptor modulator that in combination with morphinan antagonists induces analgesia Cell Chemical Biology. 2024 Jul 17;Article in Press.
    2024-03 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. 2024 Mar;98(3):779-790.
    2024-03 Multitask learning for predicting pulmonary absorption of chemicals Food and Chemical Toxicology. 2024 Mar;185:Article number 114453.
    2024-01-23 Decrypting orphan GPCR drug discovery via multitask learning Journal of Cheminformatics. 2024 Jan 23;16:Article number 10.
    2024-01-22 Fipronil disturbs the antigen-specific immune responses and GABAergic gene expression in the ovalbumin-immunized BALB/c mice BMC Veterinary Research. 2024 Jan 22;20:Article number 30.
    2024-01-10 Exploring the relationship between gut microbiome composition and blood indole-3-acetic acid in hemodialysis patients Biomedicines. 2024 Jan 10;12(1):Article number 148.
    2023-11-15 Analysis of structure–activity relationship of indol-3-yl-N-phenylcarbamic amides as potent STING inhibitors Bioorganic and Medicinal Chemistry. 2023 Nov 15;95:Article number 117502.
    2023-10-26 Canine diffuse large b-cell lymphoma downregulates the activity of CD8 + T-cells through tumor-derived extracellular vesicles Cancer Cell International. 2023 Oct 26;23:Article number 252.
    2023-08 Machine learning for predicting chemical migration from food packaging materials to foods Food and Chemical Toxicology. 2023 Aug;178:Article number 113942.
    2023-07-18 Marine diterpenoid targets STING palmitoylation in mammalian cells Communications Chemistry. 2023 Jul 18;6:Article number 153.
    2023-02-06 Using random forest to predict antimicrobial minimum inhibitory concentrations of nontyphoidal Salmonella in Taiwan Veterinary Research. 2023 Feb 06;54(1):Article number 11.
    2022-12 In silico prediction of parkinsonian motor deficits-related neurotoxicants based on the adverse outcome pathway concept Archives of Toxicology. 2022 Dec;96(12):3305-3314.
    2022-11-20 Reconfiguring the online tool of SkinSensPred for predicting skin sensitization of pesticides Journal of Pesticide Science. 2022 Nov 20;47(4):184-189.
    2022-11-03 SkinSensPred as a promising in silico tool for integrated testing strategy on skin sensitization International Journal of Environmental Research and Public Health. 2022 Nov 3;19(19):Article number 12856.
    2022-11 Computational prediction of Calu-3-based in vitro pulmonary permeability of chemicals Regulatory Toxicology and Pharmacology. 2022 Nov;135:Article number 105265.
    2022-09-22 Ensemble learning for predicting ex vivo human placental barrier permeability BMC Bioinformatics. 2022 Sep 22;22(Suppl 10):Article number 629.
    2022-09-21 Aryl hydrocarbon receptor deficiency augments dysregulated microangiogenesis and diabetic retinopathy Biomedicine and Pharmacotherapy. 2022 Sep 21;155:Article number 113725.
    2022-07 Chlorogenic acid inhibition of esophageal squamous cell carcinoma metastasis via EGFR/p-Akt/Snail signaling pathways Anticancer Research. 2022 Jul;42(7):3389-3402.
    2022-04-15 A machine learning classifier for predicting stable MCI patients using gene biomarkers International Journal of Environmental Research and Public Health. 2022 Apr 15;19(8):Article number 4839.
    2022-02 A machine learning-driven approach for prioritizing food contact chemicals of carcinogenic concern based on complementary in silico methods Food and Chemical Toxicology. 2022 Feb;160:Article number 112802.

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