title: Sugar recognition: designing artificial receptors for applications in biological diagnostics and imaging.
abstract: At the cellular level, numerous processes ranging from protein folding to disease development are mediated by a sugar-based molecular information system that is much less well known than its DNA- or protein-based counterparts. The subtle structural diversity of such sugar tags nevertheless offers an excellent, if challenging, opportunity to design receptors for the selective recognition of biorelevant sugars. Over the past 40 years, growing interest in the field of sugar recognition has led to the development of several promising artificial receptors, which could soon find widespread use in medical diagnostics and cell imaging.
authors.affiliation: Department of Chemistry, Queen's University, Chernoff Hall, 90 Bader Lane, Kingston ON K7L 3N6 (Canada).
authors.forename: Caitlin E
authors.initials: CE
authors.lastname: Miron
authors.forename: Anne
authors.initials: A
authors.lastname: Petitjean
mesh_terms: D000818:Animals; D001426:Bacterial Proteins / Q000737:chemistry / Q000378:metabolism; D014408:Biomarkers, Tumor / Q000032:analysis; D015374:Biosensing Techniques / Q000379:methods*; D001897:Boronic Acids / Q000737:chemistry; D002241:Carbohydrates / Q000032:analysis* / Q000737:chemistry*; D006801:Humans; D006860:Hydrogen Bonding; D037102:Lectins / Q000737:chemistry / Q000378:metabolism; D062165:Receptors, Artificial / Q000737:chemistry*
chemical_list: D001426:Bacterial Proteins; D014408:Biomarkers, Tumor; D001897:Boronic Acids; D002241:Carbohydrates; D037102:Lectins; D062165:Receptors, Artificial
keywords: biosensors; carbohydrates; host-guest systems; molecular recognition; receptors