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Computational Modeling and Experimental Facts of Mixed Self- Assembly Systems
- 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
- Subjects :
- 0301 basic medicine
Work (thermodynamics)
Computer science
Monte Carlo method
Binary number
Nanotechnology
Molecular Dynamics Simulation
DRUG DELIVERY SYSTEMS
03 medical and health sciences
Drug Discovery
NANOPARTICLES
MICELLE SELF-AGGREGATION
Binary system
Pharmacology
Computational model
LINEAR FREE ENERGY RELATIONSHIPS
Otras Ciencias Químicas
Ciencias Químicas
Experimental data
Trial and error
030104 developmental biology
Thermodynamics
Perturbation theory (quantum mechanics)
PERTURBATION THEORY
Biological system
Monte Carlo Method
CIENCIAS NATURALES Y EXACTAS
Subjects
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