374 related articles for article (PubMed ID: 19268338)
1. Classification of toxicity of phenols to Tetrahymena pyriformis and subsequent derivation of QSARs from hydrophobic, ionization and electronic parameters.
Zhao YH; Yuan X; Su LM; Qin WC; Abraham MH
Chemosphere; 2009 May; 75(7):866-71. PubMed ID: 19268338
[TBL] [Abstract][Full Text] [Related]
2. Toxicity of organic chemicals to Tetrahymena pyriformis: effect of polarity and ionization on toxicity.
Zhao YH; Zhang XJ; Wen Y; Sun FT; Guo Z; Qin WC; Qin HW; Xu JL; Sheng LX; Abraham MH
Chemosphere; 2010 Mar; 79(1):72-7. PubMed ID: 20079521
[TBL] [Abstract][Full Text] [Related]
3. Comparison of Tetrahymena pyriformis toxicity based on hydrophobicity, polarity, ionization and reactivity of class-based compounds.
Su L; Fu L; He J; Qin W; Sheng L; Abraham MH; Zhao YH
SAR QSAR Environ Res; 2012 Jul; 23(5-6):537-52. PubMed ID: 22463052
[TBL] [Abstract][Full Text] [Related]
4. Determining the mechanisms of toxic action of phenols to Tetrahymena pyriformis.
Ren S
Environ Toxicol; 2002; 17(2):119-27. PubMed ID: 11979590
[TBL] [Abstract][Full Text] [Related]
5. Chemistry-toxicity relationships for the effects of di- and trihydroxybenzenes to Tetrahymena pyriformis.
Aptula AO; Roberts DW; Cronin MT; Schultz TW
Chem Res Toxicol; 2005 May; 18(5):844-54. PubMed ID: 15892578
[TBL] [Abstract][Full Text] [Related]
6. Comparative structure-toxicity relationship study of substituted benzenes to Tetrahymena pyriformis using shuffling-adaptive neuro fuzzy inference system and artificial neural networks.
Jalali-Heravi M; Kyani A
Chemosphere; 2008 Jun; 72(5):733-40. PubMed ID: 18499226
[TBL] [Abstract][Full Text] [Related]
7. Anticancer activity of selected phenolic compounds: QSAR studies using ridge regression and neural networks.
Nandi S; Vracko M; Bagchi MC
Chem Biol Drug Des; 2007 Nov; 70(5):424-36. PubMed ID: 17949360
[TBL] [Abstract][Full Text] [Related]
8. Ecotoxicity prediction using mechanism- and non-mechanism-based QSARs: a preliminary study.
Ren S
Chemosphere; 2003 Dec; 53(9):1053-65. PubMed ID: 14512109
[TBL] [Abstract][Full Text] [Related]
9. Stepwise discrimination between four modes of toxic action of phenols in the Tetrahymena pyriformis assay.
Schüürmann G; Aptula AO; Kühne R; Ebert RU
Chem Res Toxicol; 2003 Aug; 16(8):974-87. PubMed ID: 12924925
[TBL] [Abstract][Full Text] [Related]
10. An evaluation of global QSAR models for the prediction of the toxicity of phenols to Tetrahymena pyriformis.
Enoch SJ; Cronin MT; Schultz TW; Madden JC
Chemosphere; 2008 Apr; 71(7):1225-32. PubMed ID: 18261763
[TBL] [Abstract][Full Text] [Related]
11. Predicting the toxicity of substituted phenols to aquatic species and its changes in the stream and effluent waters.
Lee YG; Hwang SH; Kim SD
Arch Environ Contam Toxicol; 2006 Feb; 50(2):213-9. PubMed ID: 16392020
[TBL] [Abstract][Full Text] [Related]
12. QSTR with extended topochemical atom (ETA) indices. 12. QSAR for the toxicity of diverse aromatic compounds to Tetrahymena pyriformis using chemometric tools.
Roy K; Ghosh G
Chemosphere; 2009 Nov; 77(7):999-1009. PubMed ID: 19709717
[TBL] [Abstract][Full Text] [Related]
13. Interspecies correlations of toxicity to eight aquatic organisms: theoretical considerations.
Zhang XJ; Qin HW; Su LM; Qin WC; Zou MY; Sheng LX; Zhao YH; Abraham MH
Sci Total Environ; 2010 Sep; 408(20):4549-55. PubMed ID: 20673582
[TBL] [Abstract][Full Text] [Related]
14. Comparative QSAR studies on toxicity of phenol derivatives using quantum topological molecular similarity indices.
Hemmateenejad B; Mehdipour AR; Miri R; Shamsipur M
Chem Biol Drug Des; 2010 May; 75(5):521-31. PubMed ID: 20486939
[TBL] [Abstract][Full Text] [Related]
15. Biopartitioning micellar chromatography: an alternative high-throughput method for assessing the ecotoxicity of anilines and phenols.
Bermúdez-Saldaña JM; Escuder-Gilabert L; Medina-Hernández MJ; Villanueva-Camañas RM; Sagrado S
J Chromatogr B Analyt Technol Biomed Life Sci; 2007 Jun; 852(1-2):353-61. PubMed ID: 17347057
[TBL] [Abstract][Full Text] [Related]
16. Comparative assessment of methods to develop QSARs for the prediction of the toxicity of phenols to Tetrahymena pyriformis.
Cronin MT; Aptula AO; Duffy JC; Netzeva TI; Rowe PH; Valkova IV; Schultz TW
Chemosphere; 2002 Dec; 49(10):1201-21. PubMed ID: 12489717
[TBL] [Abstract][Full Text] [Related]
17. Comparative QSAR study of phenol derivatives with the help of density functional theory.
Pasha FA; Srivastava HK; Singh PP
Bioorg Med Chem; 2005 Dec; 13(24):6823-9. PubMed ID: 16169734
[TBL] [Abstract][Full Text] [Related]
18. QSARs for monosubstituted phenols and the polar narcosis mechanism of toxicity.
Schultz TW; Lin DT; Wesley SK
Qual Assur; 1992 Feb; 1(2):132-43. PubMed ID: 1344212
[TBL] [Abstract][Full Text] [Related]
19. Experimental reactivity parameters for toxicity modeling: application to the acute aquatic toxicity of SN2 electrophiles to Tetrahymena pyriformis.
Roberts DW; Schultz TW; Wolf EM; Aptula AO
Chem Res Toxicol; 2010 Jan; 23(1):228-34. PubMed ID: 19928804
[TBL] [Abstract][Full Text] [Related]
20. Quantitative structure-activity relationship for prediction of the toxicity of phenols on Photobacterium phosphoreum.
Li X; Wang Z; Liu H; Yu H
Bull Environ Contam Toxicol; 2012 Jul; 89(1):27-31. PubMed ID: 22562268
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
