An evolution based biosensor receptor DNA sequence generation algorithm

A biosensor is composed of a bioreceptor, an associated recognition molecule, and a signal transducer that can selectively detect target substances for analysis. DNA based biosensors utilize receptor molecules that allow hybridization with the target analyte. However, most DNA biosensor research use...

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Bibliographic Details
Published inSensors (Basel, Switzerland) Vol. 10; no. 1; pp. 330 - 341
Main Authors Kim, Eungyeong, Lee, Malrey, Gatton, Thomas M, Lee, Jaewan, Zang, Yupeng
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 01.01.2010
Molecular Diversity Preservation International (MDPI)
Subjects
Algorithms
Biosensing Techniques - instrumentation
biosensor
Biosensors
Computer-Aided Design
DNA computing
DNA Probes - analysis
DNA Probes - genetics
DNA sequence
Enzymes
Equipment Design
Equipment Failure Analysis
evolution programming
Evolution, Molecular
Hybridization
Information storage
Sensors
Sequence Analysis, DNA - instrumentation
Sequence Analysis, DNA - methods
Signal transduction
Traveling salesman problem
TSP (Traveling Salesman Problem)
DNA sequence
biosensor
TSP (Traveling Salesman Problem)
evolution programming
DNA computing
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Summary:A biosensor is composed of a bioreceptor, an associated recognition molecule, and a signal transducer that can selectively detect target substances for analysis. DNA based biosensors utilize receptor molecules that allow hybridization with the target analyte. However, most DNA biosensor research uses oligonucleotides as the target analytes and does not address the potential problems of real samples. The identification of recognition molecules suitable for real target analyte samples is an important step towards further development of DNA biosensors. This study examines the characteristics of DNA used as bioreceptors and proposes a hybrid evolution-based DNA sequence generating algorithm, based on DNA computing, to identify suitable DNA bioreceptor recognition molecules for stable hybridization with real target substances. The Traveling Salesman Problem (TSP) approach is applied in the proposed algorithm to evaluate the safety and fitness of the generated DNA sequences. This approach improves efficiency and stability for enhanced and variable-length DNA sequence generation and allows extension to generation of variable-length DNA sequences with diverse receptor recognition requirements.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s100100330