Predicting the Complex Phase Behavior of Self-Assembling Drug Delivery Nanoparticles

Amphiphilic lyotropic liquid crystalline self-assembled nanomaterials have important applications in the delivery of therapeutic and imaging agents. However, little is known about the effect of the incorporated drug on the structure of nanoparticles. Predicting these properties is widely considered...

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Veröffentlicht in:	Molecular pharmaceutics 2013-04, Vol.10 (4), p.1368-1377
Hauptverfasser:	Le, Tu C, Mulet, Xavier, Burden, Frank R, Winkler, David A
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bayes Theorem Chemistry, Pharmaceutical - methods Computer Simulation Drug Delivery Systems Drug Design Humans Liquid Crystals Micelles Nanoparticles - chemistry Nanotechnology - methods Neural Networks (Computer) Solvents - chemistry Synchrotrons Temperature
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