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Base Motif Recognition and Design of DNA Templates for Fluorescent Silver Clusters by Machine Learning
Author(s) -
Copp Stacy M.,
Bogdanov Petko,
Debord Mark,
Singh Ambuj,
Gwinn Elisabeth
Publication year - 2014
Publication title -
advanced materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 10.707
H-Index - 527
eISSN - 1521-4095
pISSN - 0935-9648
DOI - 10.1002/adma.201401402
Subject(s) - template , discriminative model , fluorescence , generative grammar , computer science , dna , artificial intelligence , nanotechnology , materials science , information retrieval , biology , genetics , physics , quantum mechanics
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.