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In vitro molecular pattern classification via DNA-based weighted-sum operation

Title
In vitro molecular pattern classification via DNA-based weighted-sum operation
Authors
Lim H.-W.Lee S.H.Yang K.-A.Lee J.Y.Yoo S.-I.Park T.H.Zhang B.-T.
Ewha Authors
임희웅
Issue Date
2010
Journal Title
BioSystems
ISSN
0303-2647JCR Link
Citation
vol. 100, no. 1, pp. 1 - 7
Indexed
SCI; SCIE; SCOPUS WOS scopus
Abstract
Recent progress in molecular computation suggests the possibility of pattern classification in vitro. Weighted sum is a primitive operation required by many pattern classification problems. Here we present a DNA-based molecular computation method for implementing the weighted-sum operation and its use for molecular pattern classification in a test tube. The weights of the classifier are encoded as the mixing ratios of the differentially labeled probe DNA molecules, which are competitively hybridized with the input-encoding target molecules to compute the decision boundary of classification. The computation result is detected by fluorescence signals. We experimentally verify the underlying weight encoding scheme and demonstrate successful discrimination of two-group labels of synthetic DNA mixture patterns. The method can be used for direct computation on biomolecular data in a liquid state. © 2009 Elsevier Ireland Ltd. All rights reserved.
DOI
10.1016/j.biosystems.2009.12.001
Appears in Collections:
엘텍공과대학 > 컴퓨터공학과 > Journal papers
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