This website uses cookies to give you the best user experience. If you continue
without changing your settings we'll assume you are happy to receive all RSC cookies.
You can change your cookie settings by navigating to our Privacy and Cookies page and following the instructions. These instructions
are also obtainable from the privacy link at the bottom of any RSC page.
Departamento de Química Orgánica, Facultad de Química, Universidad de Sevilla, Apartado 553, E-41071 Sevilla, Spain
E-mail: jljb@us.es
; Fax: +34 954624960
; Tel: +34 954559806
b
Instituto de Investigaciones Químicas (IIQ), CSIC – Universidad de Sevilla, Américo Vespucio 49, Isla de la Cartuja, Spain
E-mail: jogarcia@iiq.csic.es
; Fax: +34-954460565
; Tel: +34-954489559
Chem. Soc. Rev., 2013,42, 4518-4531
DOI:
10.1039/C2CS35219B
Received
19 Jun 2012,
First published online
21 Aug 2012
Despite efficiently imitating functional ligand presentations in terms of valency and density, most of the reported multivalent carbohydrate prototypes barely reflect the inherent heterogeneity of biological systems, therefore underestimating the potential contribution of synergistic or antagonistic effects to molecular recognition events. To address this question, the design of novel molecular and supramolecular entities displaying different saccharide motifs in a controlled manner is of critical importance. In this review we highlight the current efforts made to synthesize heteromultivalent glycosystems on different platforms (peptides, dendrimers, polymers, oligonucleotides, calixarenes, cyclodextrins, microarrays, vesicles) and to evaluate the influence of heterogeneity in carbohydrate–protein (lectin, antibody) recognition phenomena. Although the number of publications on this topic is limited as compared to the huge volume of reports on homomultivalent sugar displays, the current body of results has already unravelled the existence of new binding mechanisms that operate in heterogeneous environments whose exact biological significance remains to be unveiled.
Fetching data from CrossRef. This may take some time to load.