Literature DB >> 28228073

Principal Physicochemical Methods Used to Characterize Dendrimer Molecule Complexes Used as Genetic Therapy Agents, Nanovaccines or Drug Carriers.

Rodríguez Fonseca Rolando Alberto1, Rodrigues Joao2, Muñoz-Fernández María de Los Angeles3, Martínez Muñoz Alberto1, Fragoso Vázquez Manuel Jonathan4, Correa Basurto José1.   

Abstract

Nanomedicine is the application of nanotechnology to medicine. This field is related to the study of nanodevices and nanomaterials applied to various medical uses, such as in improving the pharmacological properties of different molecules. Dendrimers are synthetic nanoparticles whose physicochemical properties vary according to their chemical structure. These molecules have been extensively investigated as drug nanocarriers to improve drug solubility and as sustained-release systems. New therapies such as gene therapy and the development of nanovaccines can be improved by the use of dendrimers. The biophysical and physicochemical characterization of nucleic acid/peptide-dendrimer complexes is crucial to identify their functional properties prior to biological evaluation. In that sense, it is necessary to first identify whether the peptide-dendrimer or nucleic aciddendrimer complexes can be formed and whether the complex can dissociate under the appropriate conditions at the target cells. In addition, biophysical and physicochemical characterization is required to determine how long the complexes remain stable, what proportion of peptide or nucleic acid is required to form the complex or saturate the dendrimer, and the size of the complex formed. In this review, we present the latest information on characterization systems for dendrimer-nucleic acid, dendrimer-peptide and dendrimer-drug complexes with several biotechnological and pharmacological applications. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

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Keywords:  Nanovaccines; dendrimers; functional properties characterization.; gene therapy; nucleic acids; peptides

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Year:  2017        PMID: 28228073     DOI: 10.2174/1381612823666170220164535

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  1 in total

1.  Practical computational toolkits for dendrimers and dendrons structure design.

Authors:  Nuno Martinho; Liana C Silva; Helena F Florindo; Steve Brocchini; Teresa Barata; Mire Zloh
Journal:  J Comput Aided Mol Des       Date:  2017-09-15       Impact factor: 3.686

  1 in total

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