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2023 Competition
Duke
Commits
074324d0
Commit
074324d0
authored
1 year ago
by
Bea Radtke
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074324d0
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@@ -535,7 +535,7 @@
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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@@ -580,9 +580,9 @@
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
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@@ -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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@@ -649,6 +649,9 @@
\[\frac {d[TF]}{dt} = k_{act,L,TF}[LSynTF] + k_{act,TF}[SynTF]
\tag{18}\]
</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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