EventsMOL2NET'15, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 1st ed.
Published
This submission belongs to the session 05. CHEMBIO.MOL-01: Org. Chem., Med. Chem., Pharm. Industry, & Mol. Biol., Congress, Paris, France-Galveston, USA, 2023., Rostock, Germany-Bilbao, Spain-Galveston, Texas, USA, 2015 of the event MOL2NET'15, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 1st ed.
Published date
04 Dec, 2015
Citation
Anita Maria Rayar, Elizabeth Goya Jorge, Stephen Jones Barigye, María Elisa Jorge Rodríguez, Clotilde Ferroud, Maité Sylla-Iyarreta Veitía, Microwave Activated Synthesis of Benzalacetones and Study of Their Potential Antioxidant Activity Using Artificial Neural Networks Method, in Proceedings of MOL2NET'15, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 1st ed., 5 December–15 December 2015, MDPI: Basel, Switzerland, doi: 10.3390/MOL2NET-1-b028
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Microwave Activated Synthesis of Benzalacetones and Study of Their Potential Antioxidant Activity Using Artificial Neural Networks Method

Anita Maria Rayar 1
Stephen Jones Barigye 3
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1. Equipe de Chimie Moléculaire du Laboratoire CMGPCE, EA 7341, Conservatoire national des arts et métiers, 2 rue Conté,75003, Paris
2. Pharmacy Department, Faculty of Chemistry, Central University “Marta Abreu” of Las Villas, C-54830 Santa Clara, Cuba
3. Department of Chemistry, Federal University of Lavras, P.O. Box 3037, 37200-000 Lavras, MG, Brazil
Abstract

The α,β-unsaturated ketones known as benzalacetones are an interesting class of compounds frequently used as key intermediates in organic synthesis. Due to their conjugated system, benzalacetone and derivatives have been described as radical scavengers with potential antioxidant properties. We report here a simple and direct method to prepare functionalized α,β-unsaturated ketones via a microwaves activated Claisen-Schmidt reaction. The experimental protocol developed selectively produces benzalacetones without self-condensation product in very short reaction times and good yields. Interested in the biological properties of benzalacetones, we also studied the antioxidant potential of these compounds using an in silico study based on the DPPH• radical scavenging ability. The built mathematical model was based on the 0-3D DRAGON molecular descriptors and the artificial neural networks technique showing a correlation coefficient for the training set (R2) = 0.71, an external correlation coefficient (Q2ext) = 0.65 . Unfortunately, the results obtained in the in-silico study revealed that synthesized benzalacetones have no antioxidant activity. The predicted results have been confirmed experimentally by an in vitro assay of DPPH• scavenging capacity.

Keywords
benzalacetones
artificial neural networks
antioxidant
QSAR
DPPH
free radical scavengers
microwaves-assisted synthesis
Manuscript
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