2001
DOI: 10.1006/eesa.2001.2064
|View full text |Cite
|
Sign up to set email alerts
|

QSAR and Chemometric Approaches for Setting Water Quality Objectives for Dangerous Chemicals

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
26
0

Year Published

2003
2003
2012
2012

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 45 publications
(26 citation statements)
references
References 18 publications
0
26
0
Order By: Relevance
“…Table 7 shows that the best statistical quality along with prediction statistics with ETA descriptors is found in case of GFA-MLR equation. (1, 5, 9, 13, 17, 21, 25, 29, 33, 7, 41), (2, 6, 10, 14, ..., 34, 38), ..., (4,8,12,16,20,24,28,32,36,40). …”
Section: Resultsmentioning
confidence: 98%
See 2 more Smart Citations
“…Table 7 shows that the best statistical quality along with prediction statistics with ETA descriptors is found in case of GFA-MLR equation. (1, 5, 9, 13, 17, 21, 25, 29, 33, 7, 41), (2, 6, 10, 14, ..., 34, 38), ..., (4,8,12,16,20,24,28,32,36,40). …”
Section: Resultsmentioning
confidence: 98%
“…SAR may consist of nearest analog analysis, member of a toxic chemical class, or quantitative SAR (QSAR) [1]. In order to evaluate environmentally safe levels of dangerous chemicals, there is the need for a set of toxicological data on organisms representative of the ecosystems, which is often unavailable or inadequate [4]. Currently there are ecotoxicological data available for very small number of chemicals; thus, the European Union Commissions Scientific committee on Toxicity, Ecotoxicity, and Environment (CSTEE) recommended use of (Q)SAR models and precaution to prioritize further risk assessment of approximately 4500 compounds and their adjuvants [5].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…As seen in Figures 10 and 11, all compounds of training and test set are found to be inside of the square area. The predicted HIV-1 RT inhibitory activity data must be considered reliable only for those chemicals that fall within the applicability domain on which the model was constructed for future predictions 48 . It was also stated that the reported QSAR models may not be useful to predict the activity of other type of molecules against HIV-1 RT enzymes.…”
Section: 5273mentioning
confidence: 99%
“…Other approaches to predict toxicity include those for predicting water quality objectives (Vighi et al 2001). This was a multivariate QSAR approach that involved the assessment of water quality objectives for a set of 125 chemicals [derived from the European priority list in compliance with Directive 76/464/EEC (EEC 1976)].…”
Section: Expert Systemsmentioning
confidence: 99%