Literature DB >> 21656789

CORAL: quantitative structure-activity relationship models for estimating toxicity of organic compounds in rats.

A P Toropova1, A A Toropov, E Benfenati, G Gini, D Leszczynska, J Leszczynski.   

Abstract

For six random splits, one-variable models of rat toxicity (minus decimal logarithm of the 50% lethal dose [pLD50], oral exposure) have been calculated with CORAL software (http://www.insilico.eu/coral/). The total number of considered compounds is 689. New additional global attributes of the simplified molecular input line entry system (SMILES) have been examined for improvement of the optimal SMILES-based descriptors. These global SMILES attributes are representing the presence of some chemical elements and different kinds of chemical bonds (double, triple, and stereochemical). The "classic" scheme of building up quantitative structure-property/activity relationships and the balance of correlations (BC) with the ideal slopes were compared. For all six random splits, best prediction takes place if the aforementioned BC along with the global SMILES attributes are included in the modeling process. The average statistical characteristics for the external test set are the following: n = 119 ± 6.4, R(2) = 0.7371 ± 0.013, and root mean square error = 0.360 ± 0.037.
Copyright © 2011 Wiley Periodicals, Inc.

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Year:  2011        PMID: 21656789     DOI: 10.1002/jcc.21848

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  8 in total

1.  QSAR as a random event: a case of NOAEL.

Authors:  Alla P Toropova; Andrey A Toropov; Jovana B Veselinović; Aleksandar M Veselinović
Journal:  Environ Sci Pollut Res Int       Date:  2014-12-19       Impact factor: 4.223

2.  Optimal nano-descriptors as translators of eclectic data into prediction of the cell membrane damage by means of nano metal-oxides.

Authors:  Alla P Toropova; Andrey A Toropov; Emilio Benfenati; Rafi Korenstein; Danuta Leszczynska; Jerzy Leszczynski
Journal:  Environ Sci Pollut Res Int       Date:  2014-09-17       Impact factor: 4.223

3.  QSPR analysis of threshold of odor for the large number of heterogenic chemicals.

Authors:  Andrey A Toropov; Alla P Toropova; Luigi Cappellini; Emilio Benfenati; Enrico Davoli
Journal:  Mol Divers       Date:  2017-12-05       Impact factor: 2.943

4.  Docking and quantitative structure-activity relationship of oxadiazole derivates as inhibitors of GSK3β.

Authors:  Luisa Quesada-Romero; Julio Caballero
Journal:  Mol Divers       Date:  2013-10-01       Impact factor: 2.943

5.  Large-scale structure-activity relationship study of hepatitis C virus NS5B polymerase inhibition using SMILES-based descriptors.

Authors:  Apilak Worachartcheewan; Virapong Prachayasittikul; Alla P Toropova; Andrey A Toropov; Chanin Nantasenamat
Journal:  Mol Divers       Date:  2015-11       Impact factor: 2.943

6.  CORAL: model for no observed adverse effect level (NOAEL).

Authors:  Andrey A Toropov; Alla P Toropova; Fabiola Pizzo; Anna Lombardo; Domenico Gadaleta; Emilio Benfenati
Journal:  Mol Divers       Date:  2015-04-08       Impact factor: 2.943

7.  CORAL: Building up QSAR models for the chromosome aberration test.

Authors:  Andrey A Toropov; Alla P Toropova; Giuseppa Raitano; Emilio Benfenati
Journal:  Saudi J Biol Sci       Date:  2018-05-09       Impact factor: 4.219

8.  Development of a Quasi-Quantitative Structure-Activity Relationship Model for Prediction of the Immobilization Response of Daphnia magna Exposed to Metal-Based Nanomaterials.

Authors:  Warisa Bunmahotama; Martina G Vijver; Willie Peijnenburg
Journal:  Environ Toxicol Chem       Date:  2022-04-08       Impact factor: 4.218

  8 in total

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