Abstract
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.
Highlights
A biosensor, which is composed of a bioreceptor and a signal transducer, is a device for selectively detecting specific substances [1,2]
The approach used in the identification of suitable DNA sequences for DNA computing operations is applicable to the identification of DNA receptors for molecule recognition in DNA biosensors
This paper proposes a recognition molecule DNA sequence generation algorithm that reflects the properties of DNA and allows stable hybridization, when DNA is used for molecule recognition in the bioreceptor
Summary
A biosensor, which is composed of a bioreceptor and a signal transducer, is a device for selectively detecting specific substances [1,2]. The identification of recognition molecules suitable for real target analyte samples is an important step towards further development of DNA biosensors [4]. The approach used in the identification of suitable DNA sequences for DNA computing operations is applicable to the identification of DNA receptors for molecule recognition in DNA biosensors. This study analyzes the problems and current solutions in identifying suitable DNA material as a recognition molecule in DNA computing. A new algorithm for identifying DNA molecule recognition bioreceptor sequences that integrates evolution programming and TSP is introduced, developed and evaluated, and the conclusions are presented.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
