Biocombinatorial selection of carbohydrate binding agents of therapeutic significance.
Components of the cell-surface and extracellular matrix (including cell walls of some microorganisms) present ideal but often challenging targets for disease detection and targeting. In the past few years, selection of peptide and oligonucleotide biomimics against secreted and extracellular targets has resulted in the isolation of small high affinity binding agents against target molecules. However, little attention has been paid to the interaction of these biomimics with glycans (specifically, cell surface glycans) despite their ubiquitous and abundant presence on every cell (glycocalyx). Although glycans are now accepted as critically important class of molecules as biomarkers, imaging, therapeutic and drug targets, little advance has been made in exploiting these molecules for clinical applications. The diversity and complexity of glycan structures along with time-consuming analytical and synthetic methods are among the most significant challenges faced by glycoscientists. Innovative technologies are urgently needed to overcome these challenges and to develop glycan-based clinical applications. This review article will provide an overview of existing biocombinatorial methods that focus on the selection and use of glycan-binding random oligonucleotide ligands (aptamers) as conceptually novel therapeutics for a variety of biomedical applications including anti-microbial and anti-cancer agents. Given the range and importance of protein-carbohydrate interactions in biological processes, rapid discovery of agents that mediate these interactions may provide fruitful venues towards novel therapeutics.
Svarovsky
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SA
National Centre for Biomedical Engineering Science, National University of Ireland, Galway, Galway, Ireland. Sergei.Svarovsky@asu.edu
Joshi
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D000818:Animals; D000970:Antineoplastic Agents / Q000494:pharmacology; D000977:Antiparasitic Agents / Q000494:pharmacology; D000998:Antiviral Agents / Q000494:pharmacology; D050260:Carbohydrate Metabolism / Q000187:drug effects* / Q000235:genetics; D002240:Carbohydrate Sequence; D020650:Combinatorial Chemistry Techniques; D006801:Humans; D008969:Molecular Sequence Data; D019151:Peptide Library; D015398:Signal Transduction / Q000235:genetics / Q000502:physiology*
D000970:Antineoplastic Agents; D000977:Antiparasitic Agents; D000998:Antiviral Agents; D019151:Peptide Library