Base Motif Recognition and Design of DNA Templates for Fluorescent Silver Clusters by Machine Learning

被引：85

作者：

Copp, Stacy M. ^{[1
]}

Bogdanov, Petko ^{[2
,3
]}

Debord, Mark ^{[1
]}

Singh, Ambuj ^{[2
,3
]}

Gwinn, Elisabeth ^{[1
,4
]}

机构：

[1] Univ Calif Santa Barbara, Dept Phys, Santa Barbara, CA 93106 USA

[2] Univ Calif Santa Barbara, Dept Comp Sci & Biomol Sci, Santa Barbara, CA 93106 USA

[3] Univ Calif Santa Barbara, Engn Program, Santa Barbara, CA 93106 USA

[4] Univ Calif Santa Barbara, Calif Nanosyst Inst, Santa Barbara, CA 93106 USA

来源：

ADVANCED MATERIALS | 2014年 / 26卷 / 33期

基金：

美国国家科学基金会;

关键词：

fluorescent silver clusters; DNA nanotechnology; ligand-stabilized clusters; machine learning; base motifs; NANOCLUSTER PROBE; EXCITATION; NUMBERS; PROTEIN;

D O I：

10.1002/adma.201401402

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

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. © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

引用

页码：5839 / 5845

页数：7

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