Team:Paris/Modeling/More f2 Algo

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(Difference between revisions)
(→find_ƒ2)
(→Inv_ƒ2)
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== Inv_ƒ2 ==
== Inv_ƒ2 ==
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<html><pre class="codeinput">
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<span class="keyword">function</span> quant_ara = Inv_f2(inducer_quantity)
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<span class="comment">% gives the quantity of [ara]i needed to get inducer_quantity of a protein
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</span><span class="comment">% throught a gene behind pBad
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</span>
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    <span class="keyword">function</span> equa = F(x)
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        equa = f2( x ) - inducer_quantity;
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    <span class="keyword">end</span>
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options=optimset(<span class="string">'LevenbergMarquardt'</span>,<span class="string">'on'</span>,<span class="string">'TolX'</span>,1e-10,<span class="string">'MaxFunEvals'</span>,1e10,<span class="string">'TolFun'</span>,1e-10,<span class="string">'MaxIter'</span>,1e4);
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quant_ara = fsolve(F,1,options);
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<span class="keyword">end</span>
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</pre></html>
</div>
</div>

Revision as of 03:44, 30 October 2008

find_ƒ2 

function act_pBad = f2(arab)
% activity of pBad in function of arabinose
 
global betabad Kbad nbad Kara nara;
% parameters
 
act_pBad = betabad * ( hill( hill( arab, Kara, nara ), Kbad, nbad ) );
 
end

Inv_ƒ2 

function quant_ara = Inv_f2(inducer_quantity)
% gives the quantity of [ara]i needed to get inducer_quantity of a protein
% throught a gene behind pBad
 
     function equa = F(x)
         equa = f2( x ) - inducer_quantity;
     end
 
options=optimset('LevenbergMarquardt','on','TolX',1e-10,'MaxFunEvals',1e10,'TolFun',1e-10,'MaxIter',1e4);
 
quant_ara = fsolve(F,1,options);
 
end

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