Optimizing Cross-reactivity with Evolutionary Search for Sensors.
We report a straightforward evolutionary procedure to build an optimal sensor array from a pool of DNA sequences oriented toward three-way junctions. The individual sensors were mined from this pool under separate selection pressures to interact with four steroids, while allowing cross-reactivity, i...
| Publicado en: | Journal of the American Chemical Society Vol. 134; no. 3; pp. 1642 - 1648 |
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| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
American Chemical Society
1/25/2012
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=71498667&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 71498667 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00027863 ACS jtl: Journal of the American Chemical Society issn: 00027863 maglogo: N pubinfo: dt: 1/25/2012 vid: 134 iid: 3 pid: 997 pub: American Chemical Society artinfo: ui: 71498667 10.1021/ja2084256 ppf: 1642 ppct: 6 formats: tig: atl: Optimizing Cross-reactivity with Evolutionary Search for Sensors. aug: au: Kyung-Ae Yang Renjun Pei Stefanovic, Darko Stojanovic, Milan N. affil: Division of Experimental Therapeutics, Department of Medicine, Columbia University, New York, New York 10032, United States Department of Computer Science and Center for Biomedical Engineering, University of New Mexico, Albuquerque, New Mexico 87131, United States Department of Biomedical Engineering, Columbia University, New York, New York 10032, United States su: Oligonucleotide arrays Detectors Nucleotide sequence Steroids Hydrophobic compounds Oligonucleotide synthesis sug: subj: Oligonucleotide arrays Detectors Nucleotide sequence Steroids Hydrophobic compounds Oligonucleotide synthesis ab: We report a straightforward evolutionary procedure to build an optimal sensor array from a pool of DNA sequences oriented toward three-way junctions. The individual sensors were mined from this pool under separate selection pressures to interact with four steroids, while allowing cross-reactivity, in a manner designed to achieve perfect classification of individual steroids. The resulting sensor array had three sensors and displayed discriminatory capacity between steroid classes over full ranges of concentrations. We propose that similar protocols can be used whenever we have two or more classes of samples, with individual classes being defined through gross differences in ratios of dominant families of responsive components. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2012 holdings: @attributes: islocal: N |
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