2004
DOI: 10.1016/j.biosystems.2004.04.005
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A new DNA computing model for the NAND gate based on induced hairpin formation

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Cited by 16 publications
(6 citation statements)
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“…In combination with other platforms and technologies, MBs are now used for protein assays, [21,22] enzyme monitoring, [16][17][18] mRNA tracing in living cells, [12,14,99] biosensors, [19,20,80,82] and molecular computing. [119,122] MB aptamers, [123][124][125][126][127] for example, are protein probes that combine the advantages of the signal-transduction mechanism of MBs and the specificity of molecular recognition by aptamers. [128,129,136,137] They can be used for the highly sensitive and selective detection of proteins and cells.…”
Section: Molecular Beaconsmentioning
confidence: 99%
“…In combination with other platforms and technologies, MBs are now used for protein assays, [21,22] enzyme monitoring, [16][17][18] mRNA tracing in living cells, [12,14,99] biosensors, [19,20,80,82] and molecular computing. [119,122] MB aptamers, [123][124][125][126][127] for example, are protein probes that combine the advantages of the signal-transduction mechanism of MBs and the specificity of molecular recognition by aptamers. [128,129,136,137] They can be used for the highly sensitive and selective detection of proteins and cells.…”
Section: Molecular Beaconsmentioning
confidence: 99%
“…[147] Die ursprünglichen Einsatzfelder der MBs (als PCR-Reportergruppen und in der Allelanalyse) sind in den letzten Jahren enorm erweitert worden. In Kombination mit anderen Systemen und Techniken werden MBs inzwischen in Anwendungen wie Proteinassays, [21,22] Enzymmessungen, [16][17][18] mRNA-Monitoring in lebenden Zellen, [12,14,99] Biosensoren [19,20,80,82] und molekulares Computing [119,122] eingesetzt. MB-Aptamere (MBAs) [123][124][125][126][127] sind ein neuer Typ von Proteinsonden, die die Vorteile des MB-eigenen Signalübertragungsmechanismus mit der Spezifität der molekularen Erkennung von Aptameren verbinden.…”
Section: Ausblickunclassified
“…They pointed out that genetic manipulation in molecular sequences can cause different evolutionary results. The same DNA sequence exists hot spots and cold spots in different locations; the mutation probability of the base in the cold spots is far less than the base in hot spots [14,15]. NIU and GU have used DNA evolutionary algorithm to solve flow shop scheduling problems [16][17][18].…”
Section: Introductionmentioning
confidence: 99%