Literature DB >> 16802063

Ecotoxicological modeling and risk assessment using chemometric tools.

Kunal Roy.   

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Year:  2006        PMID： 16802063     DOI： 10.1007/s11030-006-9025-5

Source DB:  PubMed          Journal:  Mol Divers        ISSN： 1381-1991            Impact factor:   2.943


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  24 in total

1.  Traditional versus WHIM molecular descriptors in QSAR approaches applied to fish toxicity studies.

Authors:  W Di Marzio; S Galassi; R Todeschini; F Consolaro
Journal:  Chemosphere       Date:  2001-07       Impact factor: 7.086

2.  Ranking and prioritization of environmental risks of pharmaceuticals in surface waters.

Authors:  Hans Sanderson; David J Johnson; Tamara Reitsma; Richard A Brain; Christian J Wilson; Keith R Solomon
Journal:  Regul Toxicol Pharmacol       Date:  2004-04       Impact factor: 3.271

3.  Data mining and knowledge discovery in predictive toxicology.

Authors:  C Helma
Journal:  SAR QSAR Environ Res       Date:  2004 Oct-Dec       Impact factor: 3.000

4.  Applicability of the free energies of solvation for the prediction of ecotoxicity: study of chlorophenols.

Authors:  R Bureau; J C Faucon; J Faisant; F Briens; S Rault
Journal:  SAR QSAR Environ Res       Date:  1997       Impact factor: 3.000

5.  Structure-toxicity relationships for the effects to Tetrahymena pyriformis of aliphatic, carbonyl-containing, alpha,beta-unsaturated chemicals.

Authors:  T Wayne Schultz; Tatiana I Netzeva; David W Roberts; Mark T D Cronin
Journal:  Chem Res Toxicol       Date:  2005-02       Impact factor: 3.739

6.  Electrophilicity as a possible descriptor for toxicity prediction.

Authors:  D R Roy; R Parthasarathi; B Maiti; V Subramanian; P K Chattaraj
Journal:  Bioorg Med Chem       Date:  2005-05-16       Impact factor: 3.641

7.  Use of statistical and neural net approaches in predicting toxicity of chemicals.

Authors:  S C Basak; G D Grunwald; B D Gute; K Balasubramanian; D Opitz
Journal:  J Chem Inf Comput Sci       Date:  2000 Jul-Aug

8.  Ecotoxicological characterisation and classification of existing chemicals. Examples from the ICCA HPV initiative and comparison with other existing chemicals.

Authors:  Oliver Licht; Arnd Weyers; Roland Nagel
Journal:  Environ Sci Pollut Res Int       Date:  2004       Impact factor: 4.223

9.  Ecotoxicity prediction using mechanism- and non-mechanism-based QSARs: a preliminary study.

Authors:  Shijin Ren
Journal:  Chemosphere       Date:  2003-12       Impact factor: 7.086

10.  Soil ecotoxicity of polycyclic aromatic hydrocarbons in relation to soil sorption, lipophilicity, and water solubility.

Authors:  Line E Sverdrup; Torben Nielsen; Paul Henning Krogh
Journal:  Environ Sci Technol       Date:  2002-06-01       Impact factor: 9.028
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  2 in total

1.  Predictive QSAR workflow for the in silico identification and screening of novel HDAC inhibitors.

Authors:  Georgia Melagraki; Antreas Afantitis; Haralambos Sarimveis; Panayiotis A Koutentis; George Kollias; Olga Igglessi-Markopoulou
Journal:  Mol Divers       Date:  2009-02-10       Impact factor: 2.943

2.  Estimating persistence of brominated and chlorinated organic pollutants in air, water, soil, and sediments with the QSPR-based classification scheme.

Authors:  T Puzyn; M Haranczyk; N Suzuki; T Sakurai
Journal:  Mol Divers       Date:  2010-04-13       Impact factor: 2.943
  2 in total

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