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Commit 074324d0 authored by Bea Radtke's avatar Bea Radtke
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been released. The combination represents transcription factor released
by both ligand-dependent and ligand-independent activation pathways. The
ligand-independent pathway parameter is known to be nonzero (Morsut et
al., 2016; Roybal et al., 2016; Yang et al., 2020; ).
al., 2016; Roybal et al., 2016; Yang et al., 2020).
</p>
<p>
Finally, we arrive at the three-state model, which we utilize in our
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src="https://static.igem.wiki/teams/4646/wiki/engineering/model-fig3.png"
/>
<p>
<b>Figure 4:</b> Three-state system of used in computational work.
<b>Figure 4:</b> Three-state system of synNotch used in computational work.
Simplified from the full cubic ternary complex model using biological
assumptions
assumptions.
</p>
<p>
While ligand-independent activation has proven much more difficult to
......@@ -612,7 +612,7 @@
<td>Khait et al., 2016</td>
</tr>
<tr>
<td>\[k_act,{L,TF}\]</td>
<td>\[k_{act,L,TF}\]</td>
<td>0.34</td>
<td>\[s^{-1}\]</td>
<td>Notch-Delta activation</td>
......@@ -633,10 +633,10 @@
<td>Sprinzak et al., 2010</td>
</tr>
</table>
<p><b>Table 3:</b> Parameter values used in the model simulations</p>
<p><b>Table 3:</b> Parameter values used in the model simulations.</p>
<p>
The final ODE system is shown below, as deduced from the schematic in
Figure 2 and the derivations above:
Figure 4 and the derivations above:
</p>
<p class="eq-wrapper">
<!-- EQ 16 -->
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\[\frac {d[TF]}{dt} = k_{act,L,TF}[LSynTF] + k_{act,TF}[SynTF]
\tag{18}\]
</p>
<p>
Note that we take production to be zero, and we simply give <i>SynTF</i> a nonzero initial value to represent the total number of synNotch receptors expressed on the surface of the cell.
</p>
</div>
<div id="sens-anal">
<h2>Sensitivity Analysis</h2>
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