128 related articles for article (PubMed ID: 12570042)
1. Structure-toxicity modeling of pesticides to honey bees.
Devillers J; Pham-Delègue MH; Decourtye A; Budzinski H; Cluzeau S; Maurin G
SAR QSAR Environ Res; 2002 Dec; 13(7-8):641-8. PubMed ID: 12570042
[TBL] [Abstract][Full Text] [Related]
2. A general QSAR model for predicting the acute toxicity of pesticides to Lepomis macrochirus.
Devillers J
SAR QSAR Environ Res; 2001 Feb; 11(5-6):397-417. PubMed ID: 11328712
[TBL] [Abstract][Full Text] [Related]
3. Prediction of mammalian toxicity of organophosphorus pesticides from QSTR modeling.
Devillers J
SAR QSAR Environ Res; 2004; 15(5-6):501-10. PubMed ID: 15669705
[TBL] [Abstract][Full Text] [Related]
4. A general QSAR model for predicting the acute toxicity of pesticides to Oncorhynchus mykiss.
Devillers J; Flatin J
SAR QSAR Environ Res; 2000; 11(1):25-43. PubMed ID: 10768404
[TBL] [Abstract][Full Text] [Related]
5. QSTR modeling for qualitative and quantitative toxicity predictions of diverse chemical pesticides in honey bee for regulatory purposes.
Singh KP; Gupta S; Basant N; Mohan D
Chem Res Toxicol; 2014 Sep; 27(9):1504-15. PubMed ID: 25167463
[TBL] [Abstract][Full Text] [Related]
6. A Quantitative Structure Activity Relationship for acute oral toxicity of pesticides on rats: Validation, domain of application and prediction.
Hamadache M; Benkortbi O; Hanini S; Amrane A; Khaouane L; Si Moussa C
J Hazard Mater; 2016 Feb; 303():28-40. PubMed ID: 26513561
[TBL] [Abstract][Full Text] [Related]
7. Additive SMILES-based optimal descriptors in QSAR modelling bee toxicity: Using rare SMILES attributes to define the applicability domain.
Toropov AA; Benfenati E
Bioorg Med Chem; 2008 May; 16(9):4801-9. PubMed ID: 18395455
[TBL] [Abstract][Full Text] [Related]
8. SMILES as an alternative to the graph in QSAR modelling of bee toxicity.
Toropov AA; Benfenati E
Comput Biol Chem; 2007 Feb; 31(1):57-60. PubMed ID: 17275412
[TBL] [Abstract][Full Text] [Related]
9. PLS-QSAR of the adult and developmental toxicity of chemicals to Hydra attenuata.
Devillers J; Chezeau A; Thybaud E
SAR QSAR Environ Res; 2002 Dec; 13(7-8):705-12. PubMed ID: 12570047
[TBL] [Abstract][Full Text] [Related]
10. Prediction of fathead minnow acute toxicity of organic compounds from molecular structure.
Eldred DV; Weikel CL; Jurs PC; Kaiser KL
Chem Res Toxicol; 1999 Jul; 12(7):670-8. PubMed ID: 10409408
[TBL] [Abstract][Full Text] [Related]
11. Predicting acute contact toxicity of pesticides in honeybees (Apis mellifera) through a k-nearest neighbor model.
Como F; Carnesecchi E; Volani S; Dorne JL; Richardson J; Bassan A; Pavan M; Benfenati E
Chemosphere; 2017 Jan; 166():438-444. PubMed ID: 27705831
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. A study on prediction of the bio-toxicity of substituted benzene based on artificial neural network.
Gao DW; Wang P; Liang H; Peng YZ
J Environ Sci Health B; 2003 Sep; 38(5):571-9. PubMed ID: 12929716
[TBL] [Abstract][Full Text] [Related]
14. QSAR modeling in ecotoxicological risk assessment: application to the prediction of acute contact toxicity of pesticides on bees (Apis mellifera L.).
Hamadache M; Benkortbi O; Hanini S; Amrane A
Environ Sci Pollut Res Int; 2018 Jan; 25(1):896-907. PubMed ID: 29067614
[TBL] [Abstract][Full Text] [Related]
15. QSAR model for predicting pesticide aquatic toxicity.
Mazzatorta P; Smiesko M; Lo Piparo E; Benfenati E
J Chem Inf Model; 2005; 45(6):1767-74. PubMed ID: 16309283
[TBL] [Abstract][Full Text] [Related]
16. Comparative sublethal toxicity of nine pesticides on olfactory learning performances of the honeybee Apis mellifera.
Decourtye A; Devillers J; Genecque E; Le Menach K; Budzinski H; Cluzeau S; Pham-Delègue MH
Arch Environ Contam Toxicol; 2005 Feb; 48(2):242-50. PubMed ID: 15750780
[TBL] [Abstract][Full Text] [Related]
17. Linear versus nonlinear QSAR modeling of the toxicity of phenol derivatives to Tetrahymena pyriformis.
Devillers J
SAR QSAR Environ Res; 2004 Aug; 15(4):237-49. PubMed ID: 15370415
[TBL] [Abstract][Full Text] [Related]
18. Estimating pesticide field half-lives from a backpropagation neural network.
Domine D; Devillers J; Chastrette M; Karcher W
SAR QSAR Environ Res; 1993; 1(2-3):211-9. PubMed ID: 8790634
[TBL] [Abstract][Full Text] [Related]
19. Simulating lipophilicity of organic molecules with a back-propagation neural network.
Devillers J; Domine D; Guillon C; Karcher W
J Pharm Sci; 1998 Sep; 87(9):1086-90. PubMed ID: 9724559
[TBL] [Abstract][Full Text] [Related]
20. Comparative toxicity and hazards of pesticides to Apis and non-Apis bees. A chemometrical study.
Devillers J; Decourtye A; Budzinskid H; Pham-Delègue MH; Cluzeau S; Maurin G
SAR QSAR Environ Res; 2003; 14(5-6):389-403. PubMed ID: 14758982
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
