1 results match your criteria: "Advanced Graduate Education Center for Electronics of Jeonbuk and Information Technology-BK21[Affiliation]"
An evolution based biosensor receptor DNA sequence generation algorithm.
Sensors (Basel)
July 2012
Advanced Graduate Education Center for Electronics of Jeonbuk and Information Technology-BK21, Jeonju, Jeonbuk, 561-756, Korea.
Article Synopsis
- A biosensor consists of a bioreceptor, a recognition molecule, and a signal transducer that help detect target substances, with DNA-based biosensors specifically using DNA for hybridization with analytes.
- Current DNA biosensor research tends to focus on simple oligonucleotides and often overlooks the complexities found in real sample situations, making it crucial to find appropriate recognition molecules for actual target analytes.
- This study introduces a hybrid evolution-based algorithm that utilizes DNA computing and the Traveling Salesman Problem (TSP) to develop and evaluate DNA sequences that act as bioreceptors, enhancing the efficiency and stability of DNA biosensors for various recognition requirements.