Base motif recognition and design of DNA templates for fluorescent silver clusters by machine learning
© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
| Veröffentlicht in: | Advanced materials (Deerfield Beach, Fla.). - 1998. - 26(2014), 33 vom: 03. Sept., Seite 5839-45 |
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| 1. Verfasser: | |
| Weitere Verfasser: | , , , |
| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2014
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| Zugriff auf das übergeordnete Werk: | Advanced materials (Deerfield Beach, Fla.) |
| Schlagworte: | Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S. DNA nanotechnology base motifs fluorescent silver clusters ligand-stabilized clusters machine learning Silver Compounds DNA |
| Zusammenfassung: | © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. Discriminative base motifs within DNA templates for fluorescent silver clusters are identified using methods that combine large experimental data sets with machine learning tools for pattern recognition. Combining the discovery of certain multibase motifs important for determining fluorescence brightness with a generative algorithm, the probability of selecting DNA templates that stabilize fluorescent silver clusters is increased by a factor of >3 |
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| Beschreibung: | Date Completed 12.05.2015 Date Revised 30.09.2020 published: Print-Electronic ErratumIn: Adv Mater. 2016 Apr;28(16):3043. - PMID 27105811 Citation Status MEDLINE |
| ISSN: | 1521-4095 |
| DOI: | 10.1002/adma.201401402 |