296 related articles for article (PubMed ID: 11440473)
1. QSAR and chemometric approaches for setting water quality objectives for dangerous chemicals.
Vighi M; Gramatica P; Consolaro F; Todeschini R
Ecotoxicol Environ Saf; 2001 Jul; 49(3):206-20. PubMed ID: 11440473
[TBL] [Abstract][Full Text] [Related]
2. ECOSAR model performance with a large test set of industrial chemicals.
Reuschenbach P; Silvani M; Dammann M; Warnecke D; Knacker T
Chemosphere; 2008 May; 71(10):1986-95. PubMed ID: 18262586
[TBL] [Abstract][Full Text] [Related]
3. Qsar investigation of a large data set for fish, algae and Daphnia toxicity.
Lessigiarska I; Wortha AP; Sokull-Klüttgen B; Jeram S; Dearden JC; Netzeva TI; Cronin MT
SAR QSAR Environ Res; 2004; 15(5-6):413-31. PubMed ID: 15669699
[TBL] [Abstract][Full Text] [Related]
4. Quantitative inter-specific chemical activity relationships of pesticides in the aquatic environment.
Tremolada P; Finizio A; Villa S; Gaggi C; Vighi M
Aquat Toxicol; 2004 Mar; 67(1):87-103. PubMed ID: 15019253
[TBL] [Abstract][Full Text] [Related]
5. Quantitative structure-activity relationship modeling of the toxicity of organothiophosphate pesticides to Daphnia magna and Cyprinus carpio.
Zvinavashe E; Du T; Griff T; van den Berg HH; Soffers AE; Vervoort J; Murk AJ; Rietjens IM
Chemosphere; 2009 Jun; 75(11):1531-8. PubMed ID: 19376559
[TBL] [Abstract][Full Text] [Related]
6. Discriminating toxicant classes by mode of action: 4. Baseline and excess toxicity.
Nendza M; Müller M; Wenzel A
SAR QSAR Environ Res; 2014; 25(5):393-405. PubMed ID: 24773472
[TBL] [Abstract][Full Text] [Related]
7. A strategy to reduce the use of fish in acute ecotoxicity testing of new chemical substances notified in the European Union.
Jeram S; Sintes JM; Halder M; Fentanes JB; Sokull-Klüttgen B; Hutchinson TH
Regul Toxicol Pharmacol; 2005 Jul; 42(2):218-24. PubMed ID: 15949882
[TBL] [Abstract][Full Text] [Related]
8. Hazard identification for 3,5-dichlorophenol in the aquatic environment.
Zagorc-Koncan J; Zgajnar Gotvajn A; Tisler T
Cell Mol Biol Lett; 2002; 7(2):381-2. PubMed ID: 12097992
[TBL] [Abstract][Full Text] [Related]
9. Per- and polyfluoro toxicity (LC(50) inhalation) study in rat and mouse using QSAR modeling.
Bhhatarai B; Gramatica P
Chem Res Toxicol; 2010 Mar; 23(3):528-39. PubMed ID: 20095582
[TBL] [Abstract][Full Text] [Related]
10. Statistical evaluation of chronic toxicity data on aquatic organisms for the hazard identification: the chemicals toxicity distribution approach.
González-Doncel M; Ortiz J; Izquierdo JJ; Martín B; Sánchez P; Tarazona JV
Chemosphere; 2006 May; 63(5):835-44. PubMed ID: 16169042
[TBL] [Abstract][Full Text] [Related]
11. Ranking and prioritization of environmental risks of pharmaceuticals in surface waters.
Sanderson H; Johnson DJ; Reitsma T; Brain RA; Wilson CJ; Solomon KR
Regul Toxicol Pharmacol; 2004 Apr; 39(2):158-83. PubMed ID: 15041147
[TBL] [Abstract][Full Text] [Related]
12. Exploring an ecotoxicity database with the OECD (Q)SAR Toolbox and DRAGON descriptors in order to prioritise testing on algae, daphnids, and fish.
Tebby C; Mombelli E; Pandard P; Péry AR
Sci Total Environ; 2011 Aug; 409(18):3334-43. PubMed ID: 21684579
[TBL] [Abstract][Full Text] [Related]
13. Application of quantitative structure--activity relationships for assessing the aquatic toxicity of phthalate esters.
Parkerton TF; Konkel WJ
Ecotoxicol Environ Saf; 2000 Jan; 45(1):61-78. PubMed ID: 10677269
[TBL] [Abstract][Full Text] [Related]
14. Ranking of aquatic toxicity of esters modelled by QSAR.
Papa E; Battaini F; Gramatica P
Chemosphere; 2005 Feb; 58(5):559-70. PubMed ID: 15620749
[TBL] [Abstract][Full Text] [Related]
15. Linear QSAR regression models for the prediction of bioconcentration factors by physicochemical properties and structural theoretical molecular descriptors.
Papa E; Dearden JC; Gramatica P
Chemosphere; 2007 Feb; 67(2):351-8. PubMed ID: 17109926
[TBL] [Abstract][Full Text] [Related]
16. Safety and nutritional assessment of GM plants and derived food and feed: the role of animal feeding trials.
EFSA GMO Panel Working Group on Animal Feeding Trials
Food Chem Toxicol; 2008 Mar; 46 Suppl 1():S2-70. PubMed ID: 18328408
[TBL] [Abstract][Full Text] [Related]
17. 3D-modelling and prediction by WHIM descriptors. Part 8. Toxicity and physico-chemical properties of environmental priority chemicals by 2D-TI and 3D-WHIM descriptors.
Todeschini R; Vighi M; Finizio A; Gramatica P
SAR QSAR Environ Res; 1997; 7(1-4):173-93. PubMed ID: 9501508
[TBL] [Abstract][Full Text] [Related]
18. Aquatic effects assessment: needs and tools.
Marchini S
Ann Ist Super Sanita; 2002; 38(2):119-29. PubMed ID: 12387134
[TBL] [Abstract][Full Text] [Related]
19. Assays with Daphnia magna and Danio rerio as alert systems in aquatic toxicology.
Martins J; Oliva Teles L; Vasconcelos V
Environ Int; 2007 Apr; 33(3):414-25. PubMed ID: 17300839
[TBL] [Abstract][Full Text] [Related]
20. Structural alerts--a new classification model to discriminate excess toxicity from narcotic effect levels of organic compounds in the acute daphnid assay.
von der Ohe PC; Kühne R; Ebert RU; Altenburger R; Liess M; Schüürmann G
Chem Res Toxicol; 2005 Mar; 18(3):536-55. PubMed ID: 15777094
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]