scholarly journals Front Cover: Boolean Logic Networks Mimicked with Chimeric Enzymes Activated/Inhibited by Several Input Signals (ChemPhysChem 7/2020)

ChemPhysChem ◽  
2020 ◽  
Vol 21 (7) ◽  
pp. 575-575
Author(s):  
Paolo Bollella ◽  
Madhura Bellare ◽  
Vasantha Krishna Kadambar ◽  
Zhong Guo ◽  
Kirill Alexandrov ◽  
...  
Keyword(s):  
Boolean Logic ◽  
Front Cover ◽  
Chimeric Enzymes ◽  
Input Signals

scholarly journals Boolean Logic Networks Mimicked with Chimeric Enzymes Activated/Inhibited by Several Input Signals

ChemPhysChem ◽  
2019 ◽  
Vol 21 (7) ◽  
pp. 589-593
Author(s):  
Paolo Bollella ◽  
Madhura Bellare ◽  
Vasantha Krishna Kadambar ◽  
Zhong Guo ◽  
Kirill Alexandrov ◽  
...  
Keyword(s):  
Boolean Logic ◽  
Chimeric Enzymes ◽  
Input Signals

scholarly journals Boolean Logic Networks Mimicked with Chimeric Enzymes Activated/Inhibited by Several Input Signals

ChemPhysChem ◽  
2020 ◽  
Vol 21 (7) ◽  
pp. 578-578
Author(s):  
Paolo Bollella ◽  
Madhura Bellare ◽  
Vasantha Krishna Kadambar ◽  
Zhong Guo ◽  
Kirill Alexandrov ◽  
...  
Keyword(s):  
Boolean Logic ◽  
Chimeric Enzymes ◽  
Input Signals

scholarly journals Modeling signaling-dependent pluripotent cell states with boolean logic can predict cell fate transitions

2017 ◽  
Author(s):  
Ayako Yachie-Kinoshita ◽  
Kento Onishi ◽  
Joel Ostblom ◽  
Eszter Posfai ◽  
Janet Rossant ◽  
...  
Keyword(s):  
Stem Cells ◽  
Cell Fate ◽  
Expression Patterns ◽  
Embryonic Stem ◽  
Boolean Logic ◽  
Connected Components ◽  
Dynamic Heterogeneity ◽  
Stable States ◽  
Input Signals ◽  
Multiple Stable States

Pluripotent stem cells (PSCs) exist in multiple stable states, each with specific cellular properties and molecular signatures. The process by which pluripotency is either maintained or destabilized to initiate specific developmental programs is poorly understood. We have developed a model to predict stabilized PSC gene regulatory network (GRN) states in response to combinations of input signals. While previous attempts to model PSC fate have been limited to static cell compositions, our approach enables simulations of dynamic heterogeneity by combining an Asynchronous Boolean Simulation (ABS) strategy with simulated single cell fate transitions using Strongly Connected Components (SCCs). This computational framework was applied to a reverse-engineered and curated core GRN for mouse embryonic stem cells (mESCs) to simulate responses to LIF, Wnt/β-catenin, FGF/ERK, BMP4, and Activin A/Nodal pathway activation. For these input signals, our simulations exhibit strong predictive power for gene expression patterns, cell population composition, and nodes controlling cell fate transitions. The model predictions extend into early PSC differentiation, demonstrating, for example, that a Cdx2-high/Oct4-low state can be efficiently and robustly generated from mESCs residing in a naïve and signal-receptive state sustained by combinations of signaling activators and inhibitors.One Sentence SummaryPredictive control of pluripotent stem cell fate transitions

Boolean Logic Gates that Use Enzymes as Input Signals

ChemBioChem ◽  
2008 ◽  
Vol 9 (8) ◽  
pp. 1260-1266 ◽  
Author(s):  
Guinevere Strack ◽  
Marcos Pita ◽  
Maryna Ornatska ◽  
Evgeny Katz
Keyword(s):  
Logic Gates ◽  
Boolean Logic ◽  
Input Signals ◽  
Boolean Logic Gates

scholarly journals Engineering calcium signaling of astrocytes for neural–molecular computing logic gates

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Michael Taynnan Barros ◽  
Phuong Doan ◽  
Meenakshisundaram Kandhavelu ◽  
Brendan Jennings ◽  
Sasitharan Balasubramaniam
Keyword(s):  
Time Slot ◽  
Logic Gates ◽  
Boolean Logic ◽  
Molecular Computing ◽  
Learning Platform ◽  
Input Signals ◽  
Reinforced Learning ◽  
Wet Lab ◽  
Flow Through ◽  
New Generation

AbstractThis paper proposes the use of astrocytes to realize Boolean logic gates, through manipulation of the threshold of $$\hbox {Ca}^{2+}$$ Ca 2 + ion flows between the cells based on the input signals. Through wet-lab experiments that engineer the astrocytes cells with pcDNA3.1-hGPR17 genes as well as chemical compounds, we show that both AND and OR gates can be implemented by controlling $$\hbox {Ca}^{2+}$$ Ca 2 + signals that flow through the population. A reinforced learning platform is also presented in the paper to optimize the $$\hbox {Ca}^{2+}$$ Ca 2 + activated level and time slot of input signals $$T_b$$ T b into the gate. This design platform caters for any size and connectivity of the cell population, by taking into consideration the delay and noise produced from the signalling between the cells. To validate the effectiveness of the reinforced learning platform, a $$\hbox {Ca}^{2+}$$ Ca 2 + signalling simulator was used to simulate the signalling between the astrocyte cells. The results from the simulation show that an optimum value for both the $$\hbox {Ca}^{2+}$$ Ca 2 + activated level and time slot of input signals $$T_b$$ T b is required to achieve up to 90% accuracy for both the AND and OR gates. Our method can be used as the basis for future Neural–Molecular Computing chips, constructed from engineered astrocyte cells, which can form the basis for a new generation of brain implants.

Switchable electrode controlled by Boolean logic gates using enzymes as input signals

2009 ◽  
Vol 77 (1) ◽  
pp. 69-73 ◽  
Author(s):  
Xuemei Wang ◽  
Jian Zhou ◽  
Tsz Kin Tam ◽  
Evgeny Katz ◽  
Marcos Pita
Keyword(s):  
Logic Gates ◽  
Boolean Logic ◽  
Input Signals ◽  
Boolean Logic Gates
Sign in / Sign up

Export Citation Format

Share Document