Temporal Pattern Recognition through Analog Molecular Computation
| Autor: | Jackson O'Brien, Arvind Murugan |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0106 biological sciences
Cell signaling Computer science Molecular Networks (q-bio.MN) Computation Biomedical Engineering FOS: Physical sciences 01 natural sciences Biochemistry Genetics and Molecular Biology (miscellaneous) Signal Computers Molecular 03 medical and health sciences 010608 biotechnology Animals Quantitative Biology - Molecular Networks Gene Regulatory Networks Physics - Biological Physics 030304 developmental biology Mammals 0303 health sciences Bacteria business.industry food and beverages Pattern recognition DNA General Medicine Nonlinear Sciences - Adaptation and Self-Organizing Systems Biological Physics (physics.bio-ph) FOS: Biological sciences Pattern Recognition Physiological Pattern recognition (psychology) Artificial intelligence business Adaptation and Self-Organizing Systems (nlin.AO) Signal Transduction Dna strand displacement |
| Zdroj: | ACS Synthetic Biology. 8:826-832 |
| ISSN: | 2161-5063 |
| DOI: | 10.1021/acssynbio.8b00503 |
| Popis: | Living cells communicate information about physiological conditions by producing signaling molecules in a specific timed manner. Different conditions can result in the same total amount of a signaling molecule, differing only in the pattern of the molecular concentration over time. Such temporally coded information can be completely invisible to even state-of-the-art molecular sensors with high chemical specificity that respond only to the total amount of the signaling molecule. Here, we demonstrate design principles for circuits with temporal specificity, that is, molecular circuits that respond to specific temporal patterns in a molecular concentration. We consider pulsatile patterns in a molecular concentration characterized by three fundamental temporal features - time period, duty fraction and number of pulses. We develop circuits that respond to each one of these features while being insensitive to the others. We demonstrate our design principles using abstract Chemical Reaction Networks and with explicit simulations of DNA strand displacement reactions. In this way, our work develops building blocks for temporal pattern recognition through molecular computation. Comment: 7 pages, 5 figures + appendices |
| Databáze: | OpenAIRE |
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