Literature DB >> 31096349

The study of the index of ideality of correlation as a new criterion of predictive potential of QSPR/QSAR-models.

Andrey A Toropov1, Ivan Raška2, Alla P Toropova3, Maria Raškova2, Aleksandar M Veselinović4, Jovana B Veselinović4.   

Abstract

Acetylcholinesterase (AChE) inhibitors, dihydrofolate reductase inhibitors (DHFR), Toxicity in Tetrahymena pyriformis (TP), Acute Toxicity in fathead minnow (TFat), Water solubility (WS), and Acute Aquatic Toxicity in Daphnia magna (DM) are examined as endpoints to establish quantitative structure - property/activity relationships (QSPRs/QSARs). The Index of Ideality of Correlation (IIC) is a measure of predictive potential. The IIC has been studied in a few recent works. The comparison of models for the six endpoints above confirms that the index can be a useful tool for building up and validation of QSPR/QSAR models. All examined endpoints are important from an ecologic point of view. The diversity of examined endpoints confirms that the IIC is real criterion of the predictive potential of a model.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  CORAL software; Environmental risk; Index of ideality of correlation; OECD principles; QSPR/QSAR; Toxicity

Mesh:

Substances:

Year:  2019        PMID: 31096349     DOI: 10.1016/j.scitotenv.2018.12.439

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  Monte Carlo Method and GA-MLR-Based QSAR Modeling of NS5A Inhibitors against the Hepatitis C Virus.

Authors:  Wissal Liman; Mehdi Oubahmane; Ismail Hdoufane; Imane Bjij; Didier Villemin; Rachid Daoud; Driss Cherqaoui; Achraf El Allali
Journal:  Molecules       Date:  2022-04-23       Impact factor: 4.927

2.  Comparison of seven in silico tools for evaluating of daphnia and fish acute toxicity: case study on Chinese Priority Controlled Chemicals and new chemicals.

Authors:  Linjun Zhou; Deling Fan; Wei Yin; Wen Gu; Zhen Wang; Jining Liu; Yanhua Xu; Lili Shi; Mingqing Liu; Guixiang Ji
Journal:  BMC Bioinformatics       Date:  2021-03-24       Impact factor: 3.169

  2 in total

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