Journal article
Proteins, recognition networks and developing interfaces for macromolecular biosensing
Journal of molecular recognition, v 17(3)
May 2004
PMID: 15137030
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Genomics and proteomics discovery is leading to the identification of all proteins and to the opportunity, and challenge, to reveal the protein recognition networks that drive virtually all biological processes. Over the past decade, biosensors have emerged as a key technology for detection and analysis of biomolecular interactions. An important limitation in developing such biosensors is that the focus has been mainly on sensor platforms, the transducing hardware that converts interaction signals into recorded data, without adequately considering the role of molecular interfaces, the elements of sensors that interact with analytes to produce signals. We have investigated this alternative focus by identifying and, where necessary, designing molecular interfaces that will more effectively drive new biosensor development and utilization in biomedical and biotechnological investigations. Here we describe our recent studies of coiled coil and lipid bilayer interfaces and the potential to use these to expand sensing technologies for multiplexed target detection and analysis in increasingly biologically relevant membrane like environments.
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Details
- Title
- Proteins, recognition networks and developing interfaces for macromolecular biosensing
- Creators
- Mauro Sergi - Department of Biochemistry and A. J. Drexel Institute of Basic and Applied Protein Science, Drexel University College of Medicine, 11102 New College Building, MS 497, 245 N. 15th Street, Philadelphia, PA 19102, USAJohn ZurawskiSimon CocklinIrwin Chaiken
- Publication Details
- Journal of molecular recognition, v 17(3)
- Publisher
- Wiley; England
- Grant note
- P01 GM 56550-06 / NIGMS NIH HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Biochemistry and Molecular Biology
- Web of Science ID
- WOS:000221307700010
- Scopus ID
- 2-s2.0-2542469735
- Other Identifier
- 991014878232304721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Biochemistry & Molecular Biology
- Biophysics