32 results on '"Fan, Tengjiao"'
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2. The rat acute oral toxicity of trifluoromethyl compounds (TFMs): a computational toxicology study combining the 2D-QSTR, read-across and consensus modeling methods
3. High-throughput prediction of oral acute toxicity in Rat and Mouse of over 100,000 polychlorinated persistent organic pollutants (PC-POPs) by interpretable data fusion-driven machine learning global models
4. The oral acute toxicity of per- and polyfluoroalkyl compounds (PFASs) to Rat and Mouse: A mechanistic interpretation and prioritization analysis of untested PFASs by QSAR, q-RASAR and interspecies modelling methods
5. From molecular descriptors to the developmental toxicity prediction of pesticides/veterinary drugs/bio-pesticides against zebrafish embryo: Dual computational toxicological approaches for prioritization
6. Prioritization of the ecotoxicological hazard of PAHs towards aquatic species spanning three trophic levels using 2D-QSTR, read-across and machine learning-driven modelling approaches
7. First report on the QSAR modelling and multistep virtual screening of the inhibitors of nonstructural protein Nsp14 of SARS-CoV-2: Reducing unnecessary chemical synthesis and experimental tests
8. Modulating MGMT expression through interfering with cell signaling pathways
9. Ecotoxicological QSAR study of fused/non-fused polycyclic aromatic hydrocarbons (FNFPAHs): Assessment and priority ranking of the acute toxicity to Pimephales promelas by QSAR and consensus modeling methods
10. The dual role of DNA repair protein MGMT in cancer prevention and treatment
11. Ecotoxicological QSAR modelling of the acute toxicity of fused and non-fused polycyclic aromatic hydrocarbons (FNFPAHs) against two aquatic organisms: Consensus modelling and comparison with ECOSAR
12. Environmental toxicity risk evaluation of nitroaromatic compounds: Machine learning driven binary/multiple classification and design of safe alternatives
13. 2-Deoxy-D-glucose increases the sensitivity of glioblastoma cells to BCNU through the regulation of glycolysis, ROS and ERS pathways: In vitro and in vivo validation
14. Energy Blocker Lonidamine Reverses Nimustine Resistance in Human Glioblastoma Cells through Energy Blockade, Redox Homeostasis Disruption, and O6-Methylguanine-DNA Methyltransferase Downregulation: In Vitro and In Vivo Validation
15. In vivo toxicity of nitroaromatic compounds to rats: QSTR modelling and interspecies toxicity relationship with mouse
16. Ecotoxicological risk assessment of pesticides against different aquatic and terrestrial species: using mechanistic QSTR and iQSTTR modelling approaches to fill the toxicity data gap
17. Prediction on the mutagenicity of nitroaromatic compounds using quantum chemistry descriptors based QSAR and machine learning derived classification methods
18. QSAR and Chemical Read-Across Analysis of 370 Potential MGMT Inactivators to Identify the Structural Features Influencing Inactivation Potency
19. Measurement of O6-alkylguanine-DNA alkyltransferase activity in tumour cells using stable isotope dilution HPLC-ESIMS/MS
20. Synthesis and antitumor activity evaluation of a novel combi-nitrosourea prodrug: Designed to release a DNA cross-linking agent and an inhibitor of O6-alkylguanine-DNA alkyltransferase
21. Identification of Pharmacophoric Fragments of DYRK1A Inhibitors Using Machine Learning Classification Models
22. Systematic QSAR and iQCCR modelling of fused/non-fused aromatic hydrocarbons (FNFAHs) carcinogenicity to rodents: reducing unnecessary chemical synthesis and animal testing
23. Reductive Activity and Mechanism of Hypoxia- Targeted AGT Inhibitors: An Experimental and Theoretical Investigation
24. Tumor Energy Metabolism and Potential of 3-Bromopyruvate as an Inhibitor of Aerobic Glycolysis: Implications in Tumor Treatment
25. Metabolic Activation and Carcinogenesis of Tobacco-Specific Nitrosamine N’-Nitrosonornicotine (NNN): A Density Function Theory and Molecular Docking Study
26. In Silico Prediction of O6-Methylguanine-DNA Methyltransferase Inhibitory Potency of Base Analogs with QSAR and Machine Learning Methods
27. QSAR and Classification Study on Prediction of Acute Oral Toxicity of N-Nitroso Compounds
28. The potential of combi-molecules with DNA-damaging function as anticancer agents
29. Measurement of O 6 -alkylguanine-DNA alkyltransferase activity in tumour cells using stable isotope dilution HPLC-ESIMS/MS
30. Identification of the Structural Features of Guanine Derivatives as MGMT Inhibitors Using 3D-QSAR Modeling Combined with Molecular Docking
31. Lonidamine Increases the Cytotoxic Effect of 1-[(4-Amino-2-methyl-5-pyrimidinyl)methyl]-3-(2-chloroethyl)-3-nitrosourea via Energy Inhibition, Disrupting Redox Homeostasis, and Downregulating MGMT Expression in Human Lung Cancer Cell Line.
32. Energy Blocker Lonidamine Reverses Nimustine Resistance in Human Glioblastoma Cells through Energy Blockade, Redox Homeostasis Disruption, and O 6 -Methylguanine-DNA Methyltransferase Downregulation: In Vitro and In Vivo Validation.
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