319 related articles for article (PubMed ID: 24911142)
1. Comparison of in silico models for prediction of Daphnia magna acute toxicity.
Golbamaki A; Cassano A; Lombardo A; Moggio Y; Colafranceschi M; Benfenati E
SAR QSAR Environ Res; 2014; 25(8):673-94. PubMed ID: 24911142
[TBL] [Abstract][Full Text] [Related]
2. Assessment of in silico models for acute aquatic toxicity towards fish under REACH regulation.
Cappelli CI; Cassano A; Golbamaki A; Moggio Y; Lombardo A; Colafranceschi M; Benfenati E
SAR QSAR Environ Res; 2015 Dec; 26(12):977-999. PubMed ID: 26540526
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Validation and extension of a similarity-based approach for prediction of acute aquatic toxicity towards Daphnia magna.
Cassotti M; Consonni V; Mauri A; Ballabio D
SAR QSAR Environ Res; 2014; 25(12):1013-36. PubMed ID: 25482581
[TBL] [Abstract][Full Text] [Related]
5. Prediction of acute toxicity of emerging contaminants on the water flea Daphnia magna by Ant Colony Optimization-Support Vector Machine QSTR models.
Aalizadeh R; von der Ohe PC; Thomaidis NS
Environ Sci Process Impacts; 2017 Mar; 19(3):438-448. PubMed ID: 28234392
[TBL] [Abstract][Full Text] [Related]
6. Regulatory perspectives in the use and validation of QSAR. A case study: DEMETRA model for Daphnia toxicity.
Porcelli C; Boriani E; Roncaglioni A; Chana A; Benfenati E
Environ Sci Technol; 2008 Jan; 42(2):491-6. PubMed ID: 18284152
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Comparison of in silico tools for evaluating rat oral acute toxicity.
Diaza RG; Manganelli S; Esposito A; Roncaglioni A; Manganaro A; Benfenati E
SAR QSAR Environ Res; 2015; 26(1):1-27. PubMed ID: 25567032
[TBL] [Abstract][Full Text] [Related]
9. QSAR models for biocides: The example of the prediction of
Marzo M; Lavado GJ; Como F; Toropova AP; Toropov AA; Baderna D; Cappelli C; Lombardo A; Toma C; Blázquez M; Benfenati E
SAR QSAR Environ Res; 2020 Mar; 31(3):227-243. PubMed ID: 31941347
[TBL] [Abstract][Full Text] [Related]
10. Comparison of in silico models for prediction of mutagenicity.
Bakhtyari NG; Raitano G; Benfenati E; Martin T; Young D
J Environ Sci Health C Environ Carcinog Ecotoxicol Rev; 2013; 31(1):45-66. PubMed ID: 23534394
[TBL] [Abstract][Full Text] [Related]
11. Evaluation of in silico development of aquatic toxicity species sensitivity distributions.
Barron MG; Jackson CR; Awkerman JA
Aquat Toxicol; 2012 Jul; 116-117():1-7. PubMed ID: 22459408
[TBL] [Abstract][Full Text] [Related]
12. Aquatic multi-species acute toxicity of (chlorinated) anilines: experimental versus predicted data.
Dom N; Knapen D; Benoot D; Nobels I; Blust R
Chemosphere; 2010 Sep; 81(2):177-86. PubMed ID: 20637490
[TBL] [Abstract][Full Text] [Related]
13. Comparison of seven in silico tools for evaluating of daphnia and fish acute toxicity: case study on Chinese Priority Controlled Chemicals and new chemicals.
Zhou L; Fan D; Yin W; Gu W; Wang Z; Liu J; Xu Y; Shi L; Liu M; Ji G
BMC Bioinformatics; 2021 Mar; 22(1):151. PubMed ID: 33761866
[TBL] [Abstract][Full Text] [Related]
14. Comparing in vivo data and in silico predictions for acute effects assessment of biocidal active substances and metabolites for aquatic organisms.
Blázquez M; Andreu-Sánchez O; Ranero I; Fernández-Cruz ML; Benfenati E
Ecotoxicol Environ Saf; 2020 Dec; 205():111291. PubMed ID: 32956865
[TBL] [Abstract][Full Text] [Related]
15. Probabilistic neural networks modeling of the 48-h LC50 acute toxicity endpoint to Daphnia magna.
Niculescu SP; Lewis MA; Tigner J
SAR QSAR Environ Res; 2008; 19(7-8):735-50. PubMed ID: 19061086
[TBL] [Abstract][Full Text] [Related]
16. The utility of QSARs in predicting acute fish toxicity of pesticide metabolites: A retrospective validation approach.
Burden N; Maynard SK; Weltje L; Wheeler JR
Regul Toxicol Pharmacol; 2016 Oct; 80():241-6. PubMed ID: 27235557
[TBL] [Abstract][Full Text] [Related]
17. Acute toxicity of organic chemicals to Gammarus pulex correlates with sensitivity of Daphnia magna across most modes of action.
Ashauer R; Hintermeister A; Potthoff E; Escher BI
Aquat Toxicol; 2011 May; 103(1-2):38-45. PubMed ID: 21392493
[TBL] [Abstract][Full Text] [Related]
18. Daphnia and fish toxicity of (benzo)triazoles: validated QSAR models, and interspecies quantitative activity-activity modelling.
Cassani S; Kovarich S; Papa E; Roy PP; van der Wal L; Gramatica P
J Hazard Mater; 2013 Aug; 258-259():50-60. PubMed ID: 23702385
[TBL] [Abstract][Full Text] [Related]
19. Development of classification models for predicting chronic toxicity of chemicals to Daphnia magna and Pseudokirchneriella subcapitata.
Ding F; Wang Z; Yang X; Shi L; Liu J; Chen G
SAR QSAR Environ Res; 2019 Jan; 30(1):39-50. PubMed ID: 30477347
[TBL] [Abstract][Full Text] [Related]
20. Multispecies QSAR modeling for predicting the aquatic toxicity of diverse organic chemicals for regulatory toxicology.
Singh KP; Gupta S; Kumar A; Mohan D
Chem Res Toxicol; 2014 May; 27(5):741-53. PubMed ID: 24738471
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]