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Computational pharmaceutics: application of molecular modeling in drug delivery

Computational pharmaceutics: application of molecular modeling in drug delivery

Douroumis, Dionysios, Fahr, A., Siepmann, J. and Snowden, Martin (eds.) (2015) Computational pharmaceutics: application of molecular modeling in drug delivery. Advances in Pharmaceutical Technology . Wiley-Blackwell. ISBN 978-1118573990

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Abstract

Molecular modeling techniques have been widely used in drug discovery fields for rational drug design and compound screening. Now these techniques are used to model or mimic the behavior of molecules, and help us study formulation at the molecular level. Computational pharmaceutics enables us to understand the mechanism of drug delivery, and to develop new drug delivery systems. The book discusses the modeling of different drug delivery systems, including cyclodextrins, solid dispersions, polymorphism prediction, dendrimer–based delivery systems, surfactant–based micelle, polymeric drug delivery systems, liposome, protein/peptide formulations, non–viral gene delivery systems, drug–protein binding, silica nanoparticles, carbon nanotube–based drug delivery systems, diamond nanoparticles and layered double hydroxides (LDHs) drug delivery systems. Although there are a number of existing books about rational drug design with molecular modeling techniques, these techniques still look mysterious and daunting for pharmaceutical scientists. This book fills the gap between pharmaceutics and molecular modeling, and presents a systematic and overall introduction to computational pharmaceutics. It covers all introductory, advanced and specialist levels. It provides a totally different perspective to pharmaceutical scientists, and will greatly facilitate the development of pharmaceutics. It also helps computational chemists to look for the important questions in the drug delivery field.

Item Type: Edited Book
Uncontrolled Keywords: Pharmaceutics, Molecular, Modelling Drug Delivery,
Subjects: Q Science > QD Chemistry
Faculty / Department / Research Group: Faculty of Engineering & Science > Department of Engineering Science
Related URLs:
Last Modified: 09 Oct 2018 10:42
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/14555

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