Computational Modeling and Experimental Facts of Mixed Self- Assembly Systems

Title:Computational Modeling and Experimental Facts of Mixed Self- Assembly Systems

Volume: 22 Issue: 34

Author(s): Paula V. Messina, Jose Miguel Besada-Porto, Ramón Rial, Humberto González-Díaz and Juan M. Ruso

Affiliation:

Keywords: Nanoparticles, micelle self-aggregation, drug delivery systems, perturbation theory, linear free energy relationships.

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.

Cite this article as:

Messina V. Paula, Besada-Porto Miguel Jose, Rial Ramón, González-Díaz Humberto and Ruso M. Juan, Computational Modeling and Experimental Facts of Mixed Self- Assembly Systems, Current Pharmaceutical Design 2016; 22 (34) . https://dx.doi.org/10.2174/1381612822666160513150054