016_20160722 Molecular Circuits For Dynamic Noise Filtering
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The document discusses a molecular analog of the Kalman filter that was developed to dynamically filter noise in molecular systems. Specifically: - Researchers developed a Poisson noise filter using biochemical reactions as a molecular version of the Kalman filter to improve the reliability of synthetic biological circuits. - The filter has the potential to play an important role in developing new medical therapies by making biological circuits more robust to noise and changing conditions similarly to electrical circuits. - The Poisson filter cancels out the effects of molecular environment noise through optimal signal estimation based on a kinetic model driven by external inputs.
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- 1. Molecular Circuits for Dynamic Noise Filtering Tran Quoc Hoan @k09hthaduonght.wordpress.com/ Paper Alert 2016-07-22, Hasegawa lab., Tokyo The University of Tokyo PNAS(2016-04), vol. 113 no. 17, Christoph Zechner, 4729–4734, doi: 10.1073/pnas.1517109113
- 2. Findings Molecular Circuits for Dynamic Noise Filtering 2 • Developed the Possion noise filter by biochemical reactions as a molecular analog of the Kalman filter applied for molecular systems. • Potential to improve the reliability of synthetic biological circuits and plan an important role in the development of new medical therapies.
- 3. Background Molecular Circuits for Dynamic Noise Filtering 3 Electrical circuits Biological circuits • Robust with noise and changing environmental conditions • Context-dependency (Ex. hot cells) • Noise-filter: build a circuit that evaluates what the noise looks like (Ex. Kalman filter) • Noise-filter: cancel out the effects of molecular environment Poisson filter
- 4. Optimal Signal Estimation Molecular Circuits for Dynamic Noise Filtering 4 Kinetic model driven by an external input dY(t)
- 5. Optimal Signal Estimation Molecular Circuits for Dynamic Noise Filtering 5 • When cYZ(t) is large, we have Gamma Filter • When cY is small (V(t) = M(t)), we have Posson filter Poison filter can be implemented by below reactions
- 6. General Filtering Circuits 6Molecular Circuits for Dynamic Noise Filtering
- 7. In Vitro Estimation of Dynamic Signals 7Molecular Circuits for Dynamic Noise Filtering
- 8. Others 8 • Ensemble Averaging Molecular Circuits for Dynamic Noise Filtering • Adaptive System Identification • Extinct Noise Cancellation