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Computational Modeling and Experimental Facts of Mixed Self- Assembly Systems

Authors :
Paula V. Messina
Ramón Rial
Humberto González-Díaz
Jose Miguel Besada-Porto
Juan M. Ruso
Source :
Current Pharmaceutical Design. 22:5249-5256
Publication Year :
2016
Publisher :
Bentham Science Publishers Ltd., 2016.

Abstract

The formation of liposomes, nanoparticle micelles, and related systems by mixtures of drugs and/or surfactants is of major relevance for the design of drug delivery systems. We can design new systems using different compounds. Traditionally these systems are created by trial and error using experimental data. However, in most cases measuring all the possible combinations represents a extensive work and almost always unaffordable. In this sense, we can use theoretical concepts and develop computational models to predict different physicochemical properties of self-aggregation processes of mixed molecular systems. In a previous work, we developed a new PT-LFER model (Linear Free Energy Relationships, LFER, combined with Perturbation Theory, PT, ideas) for binary systems. The best PT-LFER model found predicted the effects of 25000 perturbations over nine different properties of binary systems. The present work has two parts. Firstly, we carry out an analysis on the new results on the applications and experimental-theoretical studies of binary selfassembled systems. In the second part, we report for the first time, a new experimental-theoretic study of the NaDC-DTAB binary system. For this purpose, we have combined experimental procedures plus physicochemical thermodynamic framework with the PT-LFER model reported in our previous work. Fil: Messina, Paula Verónica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina Fil: Besada Porto, José Miguel. Universidad de Santiago de Compostela. Facultad de Física; España Fil: Rial, Ramón. Universidad de Santiago de Compostela. Facultad de Física; España Fil: Gonzalez Díaz, Humberto. Universidad del País Vasco; España. Fundación Vasca para la Ciencia; España Fil: Ruso, Juan M.. Universidad de Santiago de Compostela. Facultad de Física; España

Details

ISSN :
13816128
Volume :
22
Database :
OpenAIRE
Journal :
Current Pharmaceutical Design
Accession number :
edsair.doi.dedup.....bb332cdbeae6a26fd244d7227275296b
Full Text :
https://doi.org/10.2174/1381612822666160513150054