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
fDate :
6/1/2008 12:00:00 AM
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;
Journal_Title :
Sensors Journal, IEEE
DOI :
10.1109/JSEN.2008.923945