Abstract
The technique of constructing optimal descriptors calculated with the Simplified molecular input line entry system (SMILES) is described. SMILES based optimal descriptors and descriptors calculated with molecular graphs (hydrogen filled graphs and graph of atomic orbitals) are compared in modeling done by means of quantitative structure – property/ activity relationships (QSPR/QSAR). QSPR/QSAR models for normal boiling points of organic compounds, mutagenicity of heteroaromatic amines, toxicity, and anti-HIV-1 potentials of TIBO and HEPT derivatives are described in details. Possible ways to improve the SMILES based concept of QSPR/QSAR analyses are discussed.
Keywords: SMILES, QSPR/QSAR, optimal descriptor
Current Drug Discovery Technologies
Title: SMILES in QSPR/QSAR Modeling: Results and Perspectives
Volume: 4 Issue: 2
Author(s): Andrey A. Toropov and Emilio Benfenati
Affiliation:
Keywords: SMILES, QSPR/QSAR, optimal descriptor
Abstract: The technique of constructing optimal descriptors calculated with the Simplified molecular input line entry system (SMILES) is described. SMILES based optimal descriptors and descriptors calculated with molecular graphs (hydrogen filled graphs and graph of atomic orbitals) are compared in modeling done by means of quantitative structure – property/ activity relationships (QSPR/QSAR). QSPR/QSAR models for normal boiling points of organic compounds, mutagenicity of heteroaromatic amines, toxicity, and anti-HIV-1 potentials of TIBO and HEPT derivatives are described in details. Possible ways to improve the SMILES based concept of QSPR/QSAR analyses are discussed.
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Cite this article as:
Andrey A. Toropov and Emilio Benfenati , SMILES in QSPR/QSAR Modeling: Results and Perspectives, Current Drug Discovery Technologies 2007; 4 (2) . https://dx.doi.org/10.2174/157016307781483432
DOI https://dx.doi.org/10.2174/157016307781483432 |
Print ISSN 1570-1638 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-6220 |
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