DocumentCode
1231849
Title
Towards De Novo Design of Deoxyribozyme Biosensors for GMO Detection
Author
May, Elebeoba E. ; Dolan, Patricia L. ; Crozier, Paul S. ; Brozik, Susan ; Manginell, Monica
Author_Institution
Dept. of Comput. Biol., Sandia Nat. Labs., Albuquerque, NM
Volume
8
Issue
6
fYear
2008
fDate
6/1/2008 12:00:00 AM
Firstpage
1011
Lastpage
1019
Abstract
Hybrid systems that provide a seamless interface between nanoscale molecular events and microsystem technologies enable the development of complex biological sensor systems that not only detect biomolecular threats, but also are able to determine and execute a programmed response to such threats. The challenge is to move beyond the current paradigm of compartmentalizing detection, analysis, and interpretation into separate steps. We present methods that will enable the de novo design and development of customizable biosensors that can exploit deoxyribozyme computing (Stojanovic and Stefanovic, 2003) to concurrently perform in vitro target detection, genetically modified organism detection, and classification.
Keywords
biochemistry; biohazards; biology computing; biomolecular electronics; biosensors; enzymes; pattern classification; biomolecular threat detection; complex biological sensor systems; de novo design; deoxyribozyme biosensors; deoxyribozyme computing; genetically modified organism detection; in vitro target detection; microsystem technologies; nanoscale molecular events; pattern classification; Biosensors; DNA; Event detection; In vitro; Laboratories; Nanobioscience; Object detection; Organisms; Probes; Sequences; Avian influenza; biosensor; deoxyribozyme; error control codes; hybridization thermodynamics; molecular beacons; single nucleotide polymorphism;
fLanguage
English
Journal_Title
Sensors Journal, IEEE
Publisher
ieee
ISSN
1530-437X
Type
jour
DOI
10.1109/JSEN.2008.923945
Filename
4529200
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