SMILES in QSPR/QSAR Modeling: results and perspectives
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Updated: Jul 13, 2026

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
Published on: May 9, 2025
Andrey A Toropov1, Emilio Benfenati
1Uzbek Academy of Science Institue of Geology and Geophysics, 100041, Khodzhibaev Street 49, Tashkent, Uzbekistan. aatoropov@yahoo.com
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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