185 related articles for article (PubMed ID: 23624006)
1. Integration of QSAR models for bioconcentration suitable for REACH.
Gissi A; Nicolotti O; Carotti A; Gadaleta D; Lombardo A; Benfenati E
Sci Total Environ; 2013 Jul; 456-457():325-32. PubMed ID: 23624006
[TBL] [Abstract][Full Text] [Related]
2. An alternative QSAR-based approach for predicting the bioconcentration factor for regulatory purposes.
Gissi A; Gadaleta D; Floris M; Olla S; Carotti A; Novellino E; Benfenati E; Nicolotti O
ALTEX; 2014; 31(1):23-36. PubMed ID: 24247988
[TBL] [Abstract][Full Text] [Related]
3. Evaluation and comparison of benchmark QSAR models to predict a relevant REACH endpoint: The bioconcentration factor (BCF).
Gissi A; Lombardo A; Roncaglioni A; Gadaleta D; Mangiatordi GF; Nicolotti O; Benfenati E
Environ Res; 2015 Feb; 137():398-409. PubMed ID: 25616163
[TBL] [Abstract][Full Text] [Related]
4. Comparison between bioconcentration factor (BCF) data provided by industry to the European Chemicals Agency (ECHA) and data derived from QSAR models.
Petoumenou MI; Pizzo F; Cester J; Fernández A; Benfenati E
Environ Res; 2015 Oct; 142():529-34. PubMed ID: 26282223
[TBL] [Abstract][Full Text] [Related]
5. Using toxicological evidence from QSAR models in practice.
Benfenati E; Pardoe S; Martin T; Gonella Diaza R; Lombardo A; Manganaro A; Gissi A
ALTEX; 2013; 30(1):19-40. PubMed ID: 23338804
[TBL] [Abstract][Full Text] [Related]
6. Evaluation of QSAR models for predicting the partition coefficient (log P) of chemicals under the REACH regulation.
Cappelli CI; Benfenati E; Cester J
Environ Res; 2015 Nov; 143(Pt A):26-32. PubMed ID: 26432472
[TBL] [Abstract][Full Text] [Related]
7. Evaluation of existing (Q)SAR models for skin and eye irritation and corrosion to use for REACH registration.
Verheyen GR; Braeken E; Van Deun K; Van Miert S
Toxicol Lett; 2017 Jan; 265():47-52. PubMed ID: 27865849
[TBL] [Abstract][Full Text] [Related]
8. A comparative survey of chemistry-driven in silico methods to identify hazardous substances under REACH.
Nendza M; Gabbert S; Kühne R; Lombardo A; Roncaglioni A; Benfenati E; Benigni R; Bossa C; Strempel S; Scheringer M; Fernández A; Rallo R; Giralt F; Dimitrov S; Mekenyan O; Bringezu F; Schüürmann G
Regul Toxicol Pharmacol; 2013 Aug; 66(3):301-14. PubMed ID: 23707536
[TBL] [Abstract][Full Text] [Related]
9. A review of the status of alternative approaches to animal testing and the development of integrated testing strategies for assessing the toxicity of chemicals under REACH--a summary of a DEFRA-funded project conducted by Liverpool John Moores University and FRAME.
Grindon C; Combes R; Cronin MT; Roberts DW; Garrod J
Altern Lab Anim; 2006 Mar; 34 Suppl 1():149-58. PubMed ID: 16555968
[TBL] [Abstract][Full Text] [Related]
10. Critical assessment of QSAR models of environmental toxicity against Tetrahymena pyriformis: focusing on applicability domain and overfitting by variable selection.
Tetko IV; Sushko I; Pandey AK; Zhu H; Tropsha A; Papa E; Oberg T; Todeschini R; Fourches D; Varnek A
J Chem Inf Model; 2008 Sep; 48(9):1733-46. PubMed ID: 18729318
[TBL] [Abstract][Full Text] [Related]
11. Integrating QSAR and read-across for environmental assessment.
Benfenati E; Roncaglioni A; Petoumenou MI; Cappelli CI; Gini G
SAR QSAR Environ Res; 2015; 26(7-9):605-18. PubMed ID: 26535447
[TBL] [Abstract][Full Text] [Related]
12. Local lazy regression: making use of the neighborhood to improve QSAR predictions.
Guha R; Dutta D; Jurs PC; Chen T
J Chem Inf Model; 2006; 46(4):1836-47. PubMed ID: 16859315
[TBL] [Abstract][Full Text] [Related]
13. Predicting the bioconcentration factor of highly hydrophobic organic chemicals.
Garg R; Smith CJ
Food Chem Toxicol; 2014 Jul; 69():252-9. PubMed ID: 24759698
[TBL] [Abstract][Full Text] [Related]
14. Expert QSAR system for predicting the bioconcentration factor under the REACH regulation.
Grisoni F; Consonni V; Vighi M; Villa S; Todeschini R
Environ Res; 2016 Jul; 148():507-512. PubMed ID: 27152714
[TBL] [Abstract][Full Text] [Related]
15. Mechanistic applicability domains for nonanimal-based prediction of toxicological end points: general principles and application to reactive toxicity.
Aptula AO; Roberts DW
Chem Res Toxicol; 2006 Aug; 19(8):1097-105. PubMed ID: 16918251
[TBL] [Abstract][Full Text] [Related]
16. PBT assessment under REACH: Screening for low aquatic bioaccumulation with QSAR classifications based on physicochemical properties to replace BCF in vivo testing on fish.
Nendza M; Kühne R; Lombardo A; Strempel S; Schüürmann G
Sci Total Environ; 2018 Mar; 616-617():97-106. PubMed ID: 29107783
[TBL] [Abstract][Full Text] [Related]
17. Formation of mechanistic categories and local models to facilitate the prediction of toxicity.
Cronin MT; Enoch SJ; Hewitt M; Madden JC
ALTEX; 2011; 28(1):45-9. PubMed ID: 21311849
[TBL] [Abstract][Full Text] [Related]
18. Modelling acute oral mammalian toxicity. 1. Definition of a quantifiable baseline effect.
Koleva YK; Cronin MT; Madden JC; Schwöbel JA
Toxicol In Vitro; 2011 Oct; 25(7):1281-93. PubMed ID: 21557997
[TBL] [Abstract][Full Text] [Related]
19. QSAR models for bioconcentration: is the increase in the complexity justified by more accurate predictions?
Grisoni F; Consonni V; Villa S; Vighi M; Todeschini R
Chemosphere; 2015 May; 127():171-9. PubMed ID: 25703779
[TBL] [Abstract][Full Text] [Related]
20. Use of quantitative structural analysis to predict fish bioconcentration factors for pesticides.
Jackson SH; Cowan-Ellsberry CE; Thomas G
J Agric Food Chem; 2009 Feb; 57(3):958-67. PubMed ID: 19138085
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
