113 related articles for article (PubMed ID: 15667146)
21. Relative toxicity of para-substituted phenols: log KOW and pKa-dependent structure-activity relationships.
Schultz TW
Bull Environ Contam Toxicol; 1987 Jun; 38(6):994-9. PubMed ID: 3107642
[No Abstract] [Full Text] [Related]
22. Modeling the toxicity of chemicals to Tetrahymena pyriformis using heuristic multilinear regression and heuristic back-propagation neural networks.
Kahn I; Sild S; Maran U
J Chem Inf Model; 2007; 47(6):2271-9. PubMed ID: 17985864
[TBL] [Abstract][Full Text] [Related]
23. Quantitative study of electrostatic and steric effects on physicochemical property and biological activity.
Cheng YY; Yuan H
J Mol Graph Model; 2006 Jan; 24(4):219-26. PubMed ID: 16182578
[TBL] [Abstract][Full Text] [Related]
24. On the parametrization of the toxicity of organic chemicals to Tetrahymena pyriformis. The problem of establishing a uniform activity.
Mekapati SB; Hansch C
J Chem Inf Comput Sci; 2002; 42(4):956-61. PubMed ID: 12132897
[TBL] [Abstract][Full Text] [Related]
25. An Electronic-structure Informatics Study on the Toxicity of Alkylphenols to Tetrahymena pyriformis.
Sugimoto M; Manggara AB; Yoshida K; Inoue T; Ideo T
Mol Inform; 2020 Jan; 39(1-2):e1900121. PubMed ID: 31930704
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Probabilistic neural network modeling of the toxicity of chemicals to Tetrahymena pyriformis with molecular fragment descriptors.
Kaiser KL; Niculescu SP; Schultz TW
SAR QSAR Environ Res; 2002 Mar; 13(1):57-67. PubMed ID: 12074392
[TBL] [Abstract][Full Text] [Related]
28. Modeling the toxicity of aromatic compounds to tetrahymena pyriformis: the response surface methodology with nonlinear methods.
Ren S
J Chem Inf Comput Sci; 2003; 43(5):1679-87. PubMed ID: 14502503
[TBL] [Abstract][Full Text] [Related]
29. A new approach to QSAR modelling of acute toxicity.
Lagunin AA; Zakharov AV; Filimonov DA; Poroikov VV
SAR QSAR Environ Res; 2007; 18(3-4):285-98. PubMed ID: 17514571
[TBL] [Abstract][Full Text] [Related]
30. 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]
31. The use of the ionization constant (pKa) in selecting models of toxicity in phenols.
Schultz TW
Ecotoxicol Environ Saf; 1987 Oct; 14(2):178-83. PubMed ID: 3121279
[TBL] [Abstract][Full Text] [Related]
32. QSAR modelling of the toxicity to Tetrahymena pyriformis by balance of correlations.
Toropov AA; Toropova AP; Benfenati E; Manganaro A
Mol Divers; 2010 Nov; 14(4):821-7. PubMed ID: 19680771
[TBL] [Abstract][Full Text] [Related]
33. 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]
34. 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]
35. 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]
36. A novel QSAR approach for estimating toxicity of phenols.
Schultz TW; Bearden AP; Jaworska JS
SAR QSAR Environ Res; 1996; 5(2):99-112. PubMed ID: 8751817
[TBL] [Abstract][Full Text] [Related]
37. Chromatographic retention-activity relationships for prediction of the toxicity pH-dependence of phenols.
Bermúdez-Saldaña JM; Escuder-Gilabert L; Medina-Hernández MJ; Villanueva-Camañas RM; Sagrado S
Chemosphere; 2007 Aug; 69(1):108-17. PubMed ID: 17553545
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. Structure-activity relationships for mono alkylated or halogenated phenols.
Schultz TW; Cajina-Quezada M
Toxicol Lett; 1987 Jul; 37(2):121-30. PubMed ID: 3111016
[TBL] [Abstract][Full Text] [Related]
40. Bridging the gap between molecular descriptors and mechanism: cases studies by molecular dynamics simulations.
Xu L; Wang X; Zhao W
J Mol Graph Model; 2009 Apr; 27(7):829-35. PubMed ID: 19195915
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
