Literature DB >> 30255265

Use of the index of ideality of correlation to improve models of eco-toxicity.

Alla P Toropova1, Andrey A Toropov2.   

Abstract

Persistent organic pollutants are compounds used for various everyday purposes, such as personal care products, food, pesticides, and pharmaceuticals. Decomposition of considerable part of the above pollutants is a long-time process. Under such circumstances, estimation of toxicity for large arrays of organic substances corresponding to the above category of pollutants is a necessary component of theoretical chemistry. The CORAL software is a tool to establish quantitative structure-activity relationships (QSARs). The index of ideality of correlation (IIC) was suggested as a criterion of predictive potential of QSAR. The statistical quality of models for eco-toxicity of organic pollutants, which are built up, with use of the IIC is better than statistical quality of models, which are built up without use of data on the IIC.

Entities:  

Keywords:  CORAL software; Eco-toxicity; Index of ideality of correlation; Monte Carlo method; QSAR

Mesh:

Substances:

Year:  2018        PMID: 30255265     DOI: 10.1007/s11356-018-3291-5

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  17 in total

1.  Comparative acute toxicity of organic pollutants and reference values for crustaceans. I. Branchiopoda, Copepoda and Ostracoda.

Authors:  Francisco Sánchez-Bayo
Journal:  Environ Pollut       Date:  2005-08-18       Impact factor: 8.071

2.  A novel approach to predict aquatic toxicity from molecular structure.

Authors:  Juan A Castillo-Garit; Yovani Marrero-Ponce; Jeanette Escobar; Francisco Torrens; Richard Rotondo
Journal:  Chemosphere       Date:  2008-07-01       Impact factor: 7.086

3.  Predicting the ecotoxicity of ionic liquids towards Vibrio fischeri using genetic function approximation and least squares support vector machine.

Authors:  Shuying Ma; Min Lv; Fangfang Deng; Xiaoyun Zhang; Honglin Zhai; Wenjuan Lv
Journal:  J Hazard Mater       Date:  2014-10-22       Impact factor: 10.588

4.  The index of ideality of correlation: A criterion of predictability of QSAR models for skin permeability?

Authors:  Alla P Toropova; Andrey A Toropov
Journal:  Sci Total Environ       Date:  2017-02-11       Impact factor: 7.963

5.  The index of ideality of correlation: A criterion of predictive potential of QSPR/QSAR models?

Authors:  Andrey A Toropov; Alla P Toropova
Journal:  Mutat Res       Date:  2017-05-17       Impact factor: 2.433

6.  Computational ecotoxicology: simultaneous prediction of ecotoxic effects of nanoparticles under different experimental conditions.

Authors:  Valeria V Kleandrova; Feng Luan; Humberto González-Díaz; Juan M Ruso; André Melo; Alejandro Speck-Planche; M Natália D S Cordeiro
Journal:  Environ Int       Date:  2014-08-29       Impact factor: 9.621

7.  CORAL software: prediction of carcinogenicity of drugs by means of the Monte Carlo method.

Authors:  Alla P Toropova; Andrey A Toropov
Journal:  Eur J Pharm Sci       Date:  2014-02-14       Impact factor: 4.384

8.  A concordance correlation coefficient to evaluate reproducibility.

Authors:  L I Lin
Journal:  Biometrics       Date:  1989-03       Impact factor: 2.571

9.  Ecotoxicity and QSAR studies of glycerol ethers in Daphnia magna.

Authors:  Eduardo Perales; Jose Ignacio García; Elisabet Pires; Luis Aldea; Laura Lomba; Beatriz Giner
Journal:  Chemosphere       Date:  2017-05-19       Impact factor: 7.086

Review 10.  Prediction of Aquatic Toxicity of Benzene Derivatives to Tetrahymena pyriformis According to OECD Principles.

Authors:  Juan A Castillo-Garit; Concepción Abad; Gerardo M Casañola-Martin; Stephen Jones Barigye; Francisco Torrens; Amparo Torreblanca
Journal:  Curr Pharm Des       Date:  2016       Impact factor: 3.116

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