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− | <div style = 'padding-left: 14%; padding-bottom: 10px;font-size: 25px' ><b></b></div> | + | <div style = 'padding-left: 14%; padding-bottom: 10px;font-size: 25px' ><b>Construction of an Abstract IFFL Model:</b></div> |
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+ | Based on our understanding that incoherent feedforward loops (IFFL) could serve as temporal distinguishers, the first goal of our project was to replicate the model from Zhang, et al. (2016)[1]. We constructed an abstract kinetics based IFFL model, and found that IFFLs are indeed temporal classifiers. We found that when an IFFL was given an oscillatory input signal it will give qualitatively different outputs depending on the length input signals (Figure 1). In the presence of long input signals, an IFFL will give output pulses of a fixed height, whereas in the presence of shorter input signals it will produce a staircase like output where the output concentration increases with each new input pulse. | ||
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Revision as of 15:02, 17 October 2018
Results
Construction of an Abstract IFFL Model:
Based on our understanding that incoherent feedforward loops (IFFL) could serve as temporal distinguishers, the first goal of our project was to replicate the model from Zhang, et al. (2016)[1]. We constructed an abstract kinetics based IFFL model, and found that IFFLs are indeed temporal classifiers. We found that when an IFFL was given an oscillatory input signal it will give qualitatively different outputs depending on the length input signals (Figure 1). In the presence of long input signals, an IFFL will give output pulses of a fixed height, whereas in the presence of shorter input signals it will produce a staircase like output where the output concentration increases with each new input pulse.