An Effective Simulation of Aqueous Micellar Aggregates by Computational Models |
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Authors: | Guido?Angelini,Giorgio?Cerichelli,Simona?Cerritelli,Marco?Pierini mailto:marco.pierini@uniroma.itf" title=" marco.pierini@uniroma.itf" itemprop=" email" data-track=" click" data-track-action=" Email author" data-track-label=" " >Email author,Gabriella?Siani,Claudio?Villani |
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Affiliation: | (1) Dipartimento di Scienze del Farmaco, Università “G. d’Annunzio”, Via dei Vestini 31, 66013, Chieti, Italy;(2) Dipartimento di Chimica, Ingegneria Chimica e Materiali, Università degli Studi dell’Aquila, Via Vetoio, Coppito Due (AQ), Italy;(3) Institute for Biological Engineering & Biotechnology, Swiss Federal Institute of Technology (EPFL) Lausanne, LMRP, CH-1015 Lausanne, Switzerland;(4) Dipartimento di Studi di Chimica e Tecnologia delle Sostanze, Biologicamente Attive Università degli Studi “La Sapienza”, P.le A. Moro 5, Roma, ltaly |
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Abstract: | Summary We have computationally studied the interaction modes, localization and orientation of a benzene (Bz) molecule on the surface of micelles formed by cetyltrimethylammonium salts CTAX. Experimental 1H-NMR data on complexation shifts induced by Bz on the polar head hydrogens and on the adjacent methylene hydrogens of CTAX have been interpreted using a computational approach that combines an automatic molecular docking procedure with a calculation module that accounts for NMR complexation shifts due to ring current diamagnetic anisotropy. Three different models were used to reduce the complexity of the micellar system. Computational results, in good agreement with available experimental data, point to a preferential localization of the Bz molecule along the CTAX alkyl tail, about 3.9 Å away from the charged nitrogen. The Bz molecular plane is predicted perpendicular to the C-H bonds of the alkyl tail. The good results obtained with the simplest model suggest that it could be used to study more complex systems involving surfactants endowed with molecular recognition or catalytic abilities. |
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Keywords: | complexation induced shift 1H-NMR shift prediction micellar aggregates models molecular docking molecular recognition |
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