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Sainz de Murieta Fuentes, Iñaki and Rodríguez-Patón Aradas, Alfonso (2013). Probabilistic reasoning with an enzyme-driven DNA device. In: "DNA 19", 22-27 Sep 2013, Tempe, Arizona, Estados Unidos. ISBN 978-3-319-01927-7. pp. 160-173.
Title: | Probabilistic reasoning with an enzyme-driven DNA device |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | DNA 19 |
Event Dates: | 22-27 Sep 2013 |
Event Location: | Tempe, Arizona, Estados Unidos |
Title of Book: | Probabilistic Reasoning with an Enzyme-Driven DNA Device |
Date: | 2013 |
ISBN: | 978-3-319-01927-7 |
Volume: | 8141 |
Subjects: | |
Faculty: | Facultad de Informática (UPM) |
Department: | Inteligencia Artificial |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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We present a biomolecular probabilistic model driven by the action of a DNA toolbox made of a set of DNA templates and enzymes that is able to perform Bayesian inference. The model will take single-stranded DNA as input data, representing the presence or absence of a specific molecular signal (the evidence). The program logic uses different DNA templates and their relative concentration ratios to encode the prior probability of a disease and the conditional probability of a signal given the disease. When the input and program molecules interact, an enzyme-driven cascade of reactions (DNA polymerase extension, nicking and degradation) is triggered, producing a different pair of single-stranded DNA species. Once the system reaches equilibrium, the ratio between the output species will represent the application of Bayes? law: the conditional probability of the disease given the signal. In other words, a qualitative diagnosis plus a quantitative degree of belief in that diagno- sis. Thanks to the inherent amplification capability of this DNA toolbox, the resulting system will be able to to scale up (with longer cascades and thus more input signals) a Bayesian biosensor that we designed previously.
Item ID: | 26732 |
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DC Identifier: | https://oa.upm.es/26732/ |
OAI Identifier: | oai:oa.upm.es:26732 |
Official URL: | http://link.springer.com/book/10.1007/978-3-319-01... |
Deposited by: | Memoria Investigacion |
Deposited on: | 17 Jun 2014 07:31 |
Last Modified: | 30 Nov 2017 08:53 |