Literature DB >> 17218040

Optimisation of correlation weights of SMILES invariants for modelling oral quail toxicity.

Andrey A Toropov1, Emilio Benfenati.   

Abstract

The SMILES (simplified molecular input line entry system) nomenclature was used to elucidate the molecular structure in constructing the quantitative structure-property/activity relationships (QSPR/QSAR) for predicting quail toxicity after oral exposure. The presence of chemical elements in different electronic states (e.g., C, c, O, o, Cl, Br, etc.) and of different covalent bonds (i.e., -,=, and #) was used as local invariants. Combinations of different presence/absence codes for local features of the SMILES were used as global invariants. The statistical characteristics of this model are n=97, r(2)=0.755, s=0.445, F=293 (training set); n=18, r(2)=0.731, s=0.587, F=43 (test set).

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Year:  2006        PMID: 17218040     DOI: 10.1016/j.ejmech.2006.11.018

Source DB:  PubMed          Journal:  Eur J Med Chem        ISSN: 0223-5234            Impact factor:   6.514


  4 in total

1.  QSAR-modeling of toxicity of organometallic compounds by means of the balance of correlations for InChI-based optimal descriptors.

Authors:  A A Toropov; A P Toropova; E Benfenati
Journal:  Mol Divers       Date:  2009-05-19       Impact factor: 2.943

2.  QSAR modelling of carcinogenicity by balance of correlations.

Authors:  A A Toropov; A P Toropova; E Benfenati; A Manganaro
Journal:  Mol Divers       Date:  2009-02-04       Impact factor: 2.943

3.  Pesticides, cosmetics, drugs: identical and opposite influences of various molecular features as measures of endpoints similarity and dissimilarity.

Authors:  Andrey A Toropov; Alla P Toropova; Marco Marzo; Edoardo Carnesecchi; Gianluca Selvestrel; Emilio Benfenati
Journal:  Mol Divers       Date:  2020-04-23       Impact factor: 2.943

4.  Additive SMILES-based carcinogenicity models: Probabilistic principles in the search for robust predictions.

Authors:  Andrey A Toropov; Alla P Toropova; Emilio Benfenati
Journal:  Int J Mol Sci       Date:  2009-07-08       Impact factor: 6.208

  4 in total

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