The quantitative activity relationships (QSARs) of the radical scavenging activities of 96 natural anti-oxidants based on the graph of atomic orbitals by CORAL software. The QSAR models are developed with the representation of the molecular structure by the Simplified Molecular Input-Line Entry System (SMILES) and the Monte Carlo optimization was used for calculation of the correlation weights of optimal SMILES based descriptors. The data set was randomly distributed three times into the training, invisible training, calibration and validation set was examined. The R-2 values of the validation set for splits 1 to 3 were 0.966, 0.921, and 0.886 respectively. These models are established using only SMILES information, without any information on physicochemical parameters, the quantum mechanics descriptors, or 3D descriptors of the antioxidant structures. The obtained results indicated that the proposed QSAR models can be successfully used for predictions of the radical scavenging activities of new natural and synthetic antioxidants. (C) 2019 Elsevier B.V. All rights reserved.
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Hanyang Univ, Coll Human Ecol, Dept Food & Nutr, Seoul 133791, South KoreaDongduk Womens Univ, Sch Nat Sci, Dept Hlth Sci, Seoul 136714, South Korea
Om, A.
Kim, J. H.
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Dongduk Womens Univ, Sch Nat Sci, Dept Hlth Sci, Seoul 136714, South KoreaDongduk Womens Univ, Sch Nat Sci, Dept Hlth Sci, Seoul 136714, South Korea
机构:
State Univ Novi Pazar, Dept Biochem & Med Sci, Novi Pazar 36300, SerbiaUniv Belgrade, Fac Phys Chem, Belgrade 11000, Serbia
Markovic, Zoran S.
Markovic, Jasmina M. Dimitric
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Univ Belgrade, Fac Phys Chem, Belgrade 11000, SerbiaUniv Belgrade, Fac Phys Chem, Belgrade 11000, Serbia
Markovic, Jasmina M. Dimitric
Milenkovic, Dejan
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Bioengn Res & Dev Ctr, Kragujevac 34000, SerbiaUniv Belgrade, Fac Phys Chem, Belgrade 11000, Serbia
Milenkovic, Dejan
Filipovic, Nenad
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Bioengn Res & Dev Ctr, Kragujevac 34000, Serbia
Harvard Univ, Sch Publ Hlth, Boston, MA 02115 USAUniv Belgrade, Fac Phys Chem, Belgrade 11000, Serbia