NDLI: Single molecule protein biophysics using chemically modified nanopores

Content Provider	IEEE Xplore Digital Library
Author	Freedman, K.J. Jürgens, M. Peyman, S.A. Prabhu, A. Jemth, P. Edel, J. Min Jun Kim
Copyright Year	2010
Description	Author affiliation: Department of Chemistry & Institute of Biomedical Engineering, Imperial College, London, South Kensington, SW7 2AZ, United Kingdom (Peyman, S.A.; Edel, J.) \|\| Schools of Chemical and Biological Engineering, Drexel University, Philadelphia, PA 19104, USA (Freedman, K.J.) \|\| Schools of Biomedical Engineering, Drexel University, Philadelphia, PA 19104, USA (Prabhu, A.; Min Jun Kim) \|\| Department of Medical Biochemistry and Microbiology, Uppsala University, Sweden (Jürgens, M.; Jemth, P.)
Abstract	The kinetics of protein folding and binding are not only scientifically relevant to understanding the complex molecular machine-like functionality of proteins inside of cells but can also help elucidate disease pathways and lead to better therapeutic agents. Using nanopores to investigate these kinetics holds great potential for such proteomic studies in which the structure and function of proteins can be rapidly screened. In this study, we achieve part of this goal by detecting the folded and unfolded states of BSA. Furthermore, we also show that protein sensing can be performed on more biologically significant protein domains such as PDZ2. To achieve this goal, pore fabrication methods and chemical surface modifications were investigated and optimized for efficient protein sensing.
Starting Page	1060
Ending Page	1065
File Size	856794
Page Count	6
File Format	PDF
ISBN	9781424481705
ISSN	19300395
e-ISBN	9781424481699
e-ISBN	9781424481682
DOI	10.1109/ICSENS.2010.5690733
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Proteins Nanobioscience DNA Sensors Biomembranes Protein engineering Signal to noise ratio
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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