
pmid: 15350291
This review focuses on trends in the macromolecular recognition of biologically significant molecules (e.g., drugs, amino acids, steroids, nucleotide bases, carbohydrates, etc.) via molecular imprinting methods. An extensive list of prior art including type of functional monomers and crosslinkers for each biomolecule imprinted polymer is presented. Representative samples of receptor-ligand dissociation constants and polymer capacities are presented as well as typical values that occur in classes of biological recognition systems. Imprinting technology has direct impact in enhanced drug loading of controlled-release carriers for the sustained release of therapeutic agents as well as robust biosensors for novel therapeutic and diagnostic devices. This review also discusses the future of designed recognition, configurational biomimesis within polymeric gels, and highlights recent efforts toward integrating imprinted polymers in controlled drug delivery systems and sensing devices. In particular, the application of imprinted polymers for sustained release, enhanced loading capacity, and enantioselective loading or release are discussed. This article also highlights the most important problems to be solved in the design of synthetic recognition-based networks for biological molecules.
Binding Sites, Drug Delivery Systems, Biomimetic Materials, Biomimetics
Binding Sites, Drug Delivery Systems, Biomimetic Materials, Biomimetics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 219 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
