Team:Sevilla/Modelling

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       <p>Infobiotics</p>
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       <p>Wire Kinetics</p>
       </html>{{:Team:Sevilla/Templates/hr|colour=#FFB880|class=blog}}<html>  
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Our approach to the modeling of our project is centered in the properties of wires. A wire is composed by three elements: EHW, the Emitter Half-Wire, a cell with the ability to produce an arbitrary BioBit "i" at an spacefic rate; the SINK, a cell that can degrade the BioBit "i" at another specefic rate and a RHW, the Receptor Half-Wire, that's able to sense the concentration of "i" in the culture media and induce gene expresion in response to it. Our project is based in CBW, Chemical-Based Wires, so the BioBit is a chemical compound, in our case, an quorum sensing AHL molecule, it doesn't matter which one (we also consider the LBW, Light-Based Wires, where a light with a specific spectrum is the BioBit). We are going to assume that the RHW and concentration of "i", [i], is known. We don't want to know the association constant of the molecule to its receptor, but the relation between the concentration of i and the induction of a reporter gene. It would be perfect if we could know the concentration of a BioBit i inferred from the properties of the EHW and the SINK, the two types of cells, in our case bacteria, that are going to define the final concentration of the BioBit "i".
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        Infobiotics is the synergy of executable biology, evolutionary and machine learning methods, mesoscopic simulation techniques and experimental data for a more principled practice of origins of life, bioinformatics, computational systems and synthetic biology research.  
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</p>
</p>
 +
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<img src="https://lh5.googleusercontent.com/-jZMPqKueYTs/Tno95t0QWWI/AAAAAAAAA7U/qykaovCAP8w/s288/esquema%252520general.jpg" style=padding-left:100px;" height="136" width="288" />
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</b></b>
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<p>
<p>
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These activities are complemented by other groups in the <a href="http://www.synbiont.org/">SynBioNT</a> Synthetic Biology Network for Modelling and Programming Cell-Chell Interactions.
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First consideration we have to know is if our circuit is going to run in the exponential phase of growth, or in the stationary phase. We are going to assume that it is going to work in the stationary phase, where the bacterial densities are constants. So, let next equation be the rate of BioBit "i" production and degradation:
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<div class="title">
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<img src="https://lh4.googleusercontent.com/-NSaZN8QqVuc/TnouR_1-7mI/AAAAAAAAA3k/S1XrMqbI8FY/s800/wire1.gif" style=padding-left:250px;" height="38" width="161" /></a>
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      <p>Infobiotics Workbench</p>
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<p>
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Where K_B is the rate of biosynthesis of BioBit "i" by the EHW and &rho;_E is the density of EHW bacteria in the culture, and K_D is the rate of degradation of BioBit "i" by the SINK and &rho;_S is the density of SINK bacteria in the culture. Now, you can see the sequence of calculus until get the primitive:
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        <img  style="float:left;" src="http://institucional.us.es/igembiouse/images/ibw.gif" />
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        <a href="http://www.infobiotics.org/infobiotics-workbench/index.html">Infobiotics Workbench</a> is a computational framework implementing a synergy between executable biology, multi-compartmental stochastic simulations, formal model analysis and structural/parameter model optimisation for computational systems and synthetic biology. It provides a user-friendly front-end allowing the modeller to design in-silico experiments, analyse and visualise results using its four components:
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</p>
</p>
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<ul class="ibw">
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<img src="https://lh6.googleusercontent.com/-Mz55wTV8rns/TnouRVJOkLI/AAAAAAAAA3Y/7ferKLEOx_4/s800/wire2.gif" style=padding-left:250px;" height="43" width="205" />
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<li>A modelling language based on P systems which allows modular and parsimonious multi-cellular model development including geometric information.
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</br></br>
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<li>A multi-compartmental stochastic simulator based on Gillespie’s Stochastic Simulation Algorithm for multi-cellular systems.
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<li>Formal model analysis using the stochastic model checkers PRISM and MC2 for the study of temporal and spatial model properties.
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<li>Structural and parameter model optimisation using evolutionary algorithms to automatically generate models whose dynamics match specified targets.
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</ul>  
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<div class="title">
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<img src="https://lh3.googleusercontent.com/-Ad3jiVw3dQc/TnouRbHbfeI/AAAAAAAAA3c/mizU4lanCLw/s800/wire3.gif" style=padding-left:250px;" height="43" width="278" />
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      <p>Our software</p>
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</br></br>
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    <div class="modelingbody">
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<img src="https://lh4.googleusercontent.com/-nc67Jb0zV2I/TnouRkp_HdI/AAAAAAAAA3s/e4gDlP4dGdU/s800/wire4.gif" style=padding-left:250px;" height="43" width="235" />
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        <p>
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</br></br>
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      <strong>GPSE (Graphical P-System Editor)</strong>
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      </p>
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<img src="https://lh5.googleusercontent.com/-hpxm-0nnxfY/TnouRh1AsWI/AAAAAAAAA3g/QK-3t04zjKc/s800/wire5.gif" style=padding-left:250px;" height="19" width="276" />
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      <p>
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</br></br>
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Our software is a CAD to design biological P-Systems. The main goal of our program is to make the preparation of the files needed for the P-Systems simulators easier, more intuitive. The main features of the software are as follow:
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<img src="https://lh6.googleusercontent.com/-I5dXHsjlKVk/TnouSbi2KnI/AAAAAAAAA3o/fzzmFTwtD68/s800/wire6.gif" style=padding-left:250px;" height="20" width="217" /></a>
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</br></br>
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<img src="https://lh3.googleusercontent.com/-lCZs1oUdkRw/TnouS0PFVfI/AAAAAAAAA3w/9QI5GKgAvzI/s800/wire7.gif" style=padding-left:250px;" height="20" width="217" /></a>
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</br></br>
 +
 
 +
<img src="https://lh6.googleusercontent.com/-vFK6ut66a60/TnouSypYQ5I/AAAAAAAAA30/FLAlGAkNkuo/s800/wire8.gif" style=padding-left:250px;" height="44" width="196" /></a>
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</br></br>
 +
 
 +
<p>
 +
Now, we assume that the concentration of i(t) at t=0 is i(0) to find the value of the constant:
</p>
</p>
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<ul class="ibw">
 
-
<li>Projects organized in several levels: a level for description and documentation about the project, a level for DNA, cell level and a multicellular level.
 
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<li>Analysis: check for possible errors in the input and compatibility with BioBricks.
 
-
<li>New modules available for download from repositories.
 
-
<li>Drag&drop elements in the graphical interface.
 
-
<li>You can export the project both as GPSE or CBML a format compatible with multiple biological simulators.
 
-
</ul>
 
 +
<img src="https://lh4.googleusercontent.com/-UlCeF9O1WP4/TnouTCNlEfI/AAAAAAAAA34/HK8jJrGIzhc/s800/wire9.gif" style=padding-left:250px;" height="71" width="177" />
 +
</br></br>
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</p>
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<img src="https://lh5.googleusercontent.com/-ZP3jsEg2E8M/TnouTKdiiUI/AAAAAAAAA38/9oNWrQHIgW0/s800/wire10.gif" style=padding-left:250px;" height="20" width="200" />
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    </div>
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</br></br>
 +
<p>
 +
And this is the BioBit i concentration function of time and taking into account the density of bacteria and the rates of production and degradation of "i":</p>
 +
<img src="https://lh6.googleusercontent.com/-_YuJYhXq_FI/TnouTX4-2YI/AAAAAAAAA4M/t6EKWUzg7Fs/s800/wire12.gif" style=padding-left:250px;" height="42" width="315" />
 +
</br></br>
 +
<p>
 +
Now, it is interesting if we can get the concentration of BioBit "i" at equilibrium, this is, when time tends to infinity:</p>
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<div class="title">
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<img src="https://lh6.googleusercontent.com/-ZsuOWbJYmeo/TnouTrY5INI/AAAAAAAAA4E/n6w9IKGVMa8/s800/wire13.gif" style=padding-left:250px;" height="42" width="515" />
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      <p>The future of our software</p>
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</br></br>
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      </html>{{:Team:Sevilla/Templates/hr|colour=#FFB880|class=blog}}<html>  
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      </br>
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    </div>
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<img src="https://lh6.googleusercontent.com/-WV570PJby20/TnouTs5psdI/AAAAAAAAA4I/Ye7qMS2bVH0/s800/wire14.gif" style=padding-left:250px;" height="42" width="107" />
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</br></br>
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    <div class="modelingbody">
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<p>
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+
Another interesting thing that we can obtain from that equation is the time it takes to reach a certain fraction &alpha; (from 0 to 1) of equilibrium concentration:</p>
-
      <p>
+
 
-
For the next version of our software we will include:
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<img src="https://lh5.googleusercontent.com/-AGLm3WJ_bfE/TnouhdfBjGI/AAAAAAAAA5M/odHzHb_6HBw/s800/sink7.gif" style=padding-left:250px;" height="75" width="156" />
 +
</br></br>
 +
 
 +
<p>
 +
So, we have a very interesting equation with great potential but, how can we get the values of biosynthesis and degradation constants and the bacterial densities? The first thing we have to do is to create a cell with a RHW(i) coupled to a reporter gene (lacZ with ONPG, for instance), that is RHW_i>lacZ, and then, we make a messure of reporter activity for some differents concentrations of BioBit "i" over time:
</p>
</p>
-
<ul class="ibw">
 
-
<li>Exports in more formats.
 
-
<li>CBML and othe formats to import.
 
-
<li>Other interesting features.
 
-
</ul>
 
-
</p>
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<img src="https://lh5.googleusercontent.com/-R2uCqqDxP-g/TnpD1gzIc8I/AAAAAAAAA7k/N7-NYZ53fZw/s288/Untitleddrawing.png" style=padding-left:250px;" height="127" width="288" />
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    </div>
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</b></b>
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</br>
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<img src="https://lh6.googleusercontent.com/-3aEe2anS7UA/TnpIr-dk8PI/AAAAAAAAA78/QVoRJs3gVxU/s288/Untitleddrawing%252520%2525282%252529.png" style=padding-left:250px;" height="241" width="288" />
 +
</b></b>
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<div class="title">
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<p>
-
      <p>Ubbit repository</p>
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Now, we have to build another construction to get the behaviour of the EHW, a RHW(j) coupled to the EHW(i):
-
      </html>{{:Team:Sevilla/Templates/hr|colour=#FFB880|class=blog}}<html>
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</p>
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      </br>
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    </div>
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    <div class="modelingbody">
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<img src="https://lh3.googleusercontent.com/-B8Doy5E099Q/TnpMi7QxpoI/AAAAAAAAA8I/u5UWzP8ue28/s400/Untitleddrawing%252520%2525283%252529.png" style=padding-left:250px;" height="103" width="400" />
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        <p>
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</b></b>
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      <strong>Ubbit.org</strong>The ubbit repository is a web application developed by the computer science students of the team.  
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      </p>
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      <p>
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 +
<p>
 +
Next experiment will let us to characterize the EHW biosynthesis constant. Once you have another verified RWH, RHW(j) in this case, you have to add the enought amount of "j" bbit to the medium for highest gene expresion, then, measure the reporter signal over time and find the curve that fits with it using the curve for RHW(i). This will let us know, if we consider the first part of our initial equation, kinetics constants of our EHW:
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</p>
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</p>
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<img src="https://lh4.googleusercontent.com/-0-GdPHrnW5I/Tnoub6a6A1I/AAAAAAAAA4w/S_n0S_XhQho/s800/ehw1.gif" style=padding-left:250px;" height="38" width="87" />
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    </div>
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</b></b>
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<div class="title">
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<p>
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      <p>The future of Ubbit.com</p>
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Considering the initial conditions,
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</p>
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    <div class="modelingbody">
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<img src="https://lh4.googleusercontent.com/-VUHimqs10lU/Tnoub6cq1EI/AAAAAAAAA40/19qtIo7QRA0/s800/ehw2.gif" style=padding-left:250px;" height="41" width="140" />
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        <p>
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</b></b>
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      <strong>Ubbit.org</strong>  
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      </p>
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      <p>
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<p>
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The solution of the equation is:
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</p>
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</p>
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<img src="https://lh6.googleusercontent.com/-MA5HMjpqnhU/Tnoub_pwHhI/AAAAAAAAA4s/DlrX2UWtw3Y/s800/ehw3.gif" style=padding-left:250px;" height="19" width="103" />
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    </div>
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</b></b>
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<div class="title">
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<p>
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      <p>FAQ (Frequently Asked Questions)</p>
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So, with the previous experiment, we can get pairs of data like {t,i(t)} taken from the selected curves. And, if we know the bacterial density of EHW(i) (it would be necessary to find the relation between cells/mL and DO(&lamda;=600) to facilitate work), we can estimate K_B.
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</p>
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    </div>
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<p>
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To estimate the SINK kinetics, we have to build a bacteria with the SINK(i) set of genes and the bacteria with the RHW(i)>ReporterGene configuration taken from the previous experiments. We need culture media with some differents known concentrations of bbit "i" and SINK bacteria. Then, we have to let pass a fixed amount of time and filter the culture media. And now, we have to add RHW(i)>ReporterGene to the filtered media and check the generated curve from the characterization experiment of RHW. This will generate pairs of data like {i(0),i(t)} with "t" a fixed constant. Finally, we have to consider the kinetics of isolated sink:
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    <div class="modelingbody">
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<img src="https://lh4.googleusercontent.com/-NNwsKuv3Spw/TnougiYXKHI/AAAAAAAAA48/UyL0HA3E0uo/s800/sink1.gif" style=padding-left:250px;" height="38" width="106" />
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</b></b>
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      <p>
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<p></p>
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<strong>Are we going to implement an instance of a P-system biochemically? </strong>
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</br>
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<img src="https://lh6.googleusercontent.com/-Omc8rcRKltc/TnougWl-12I/AAAAAAAAA44/5vBXZIRxOQY/s800/sink2.gif" style=padding-left:250px;" height="41" width="163" />
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</b></b>
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<p></p>
 +
 
 +
<img src="https://lh4.googleusercontent.com/-78w-mT0vobs/Tnougl1_Y2I/AAAAAAAAA5A/c4NyCJz7F6c/s800/sink3.gif" style=padding-left:250px;" height="17" width="150" />
 +
</b></b>
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<p>
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And the conditions are:
</p>
</p>
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 +
<img src="https://lh3.googleusercontent.com/-b402463w-Ck/Tnoug--JwFI/AAAAAAAAA5I/8RPsvWi3eLc/s800/sink4.gif" style=padding-left:250px;" height="44" width="123" />
 +
</b></b>
<p>
<p>
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Our project is not intendended to be an implementation of a P-system but it can be used to design implementations of a restricted version of P-system without membrane polarization, division or creation, among other things. It was conceived as a new level of abstraction that will allow us to design complex biological circuits. It's true yhat there are some similarities between our project and the definiton of a P-system; both are compartmentalized, paralell and maximal.
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So the final equation is:
</p>
</p>
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 +
<img src="https://lh6.googleusercontent.com/-Hjm9Lmr6Y40/Tnougyn4yRI/AAAAAAAAA5E/-oKlRLwgc0I/s800/sink5.gif" style=padding-left:250px;" height="22" width="138" />
 +
</b></b>
<p>
<p>
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As you can see above, we are using infobiotics WB to do the simulation, so we are adapting our project into a P-system. We are also developing a software to make the tedious task of creating the configuration file for the IWB much easier.
+
And from here, we can get an estimation of K_D using the pairs of {i(0),i(t)} data. This equation is not only useful to characterize the SINK degradation constant. When a wire is switched off, the amount of bbits in media is fixed because its productions stops. Usually, it will be the equilibrium concentration of bbits. We can get the time that takes to reduce this concentration to a fraction &alpha; of initial amount (&alpha; is between 0 and 1); this is what we call the extinction time:
</p>
</p>
 +
<img src="https://lh3.googleusercontent.com/-Frv08Jo3B2o/TnouhJ2cPlI/AAAAAAAAA5Q/vIz3-rrKpfg/s800/sink6.gif" style=padding-left:250px;" height="42" width="102" />
 +
</b></b>
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    </div>
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<p>
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</br>
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To conclude, we consider you have to see is the graph of i(t) function of time and b=K_D*&rho;_S, once fixed the K_B*&rho;_E value (in this case is equal to 1):
 +
</p>
 +
<img src="https://lh3.googleusercontent.com/-nIL8l6EAzQI/TnouUHC0uHI/AAAAAAAAA-E/sx4S4furDAo/s800/wolframalpha-20110921120956158.jpg" style=padding-left:250px;" height="248" width="331" /></a>
 +
</b></b>
 +
<p>
 +
The units of time are minutes and liquids are messured in mL. The units of other constants are:
 +
</p>
 +
 +
<img src="https://lh4.googleusercontent.com/-i0p6kb0QjFE/Tnoup6AuwyI/AAAAAAAAA5Y/cd_WX4q9Q5g/s800/unit3.gif" style=padding-left:250px;" height="38" width="76" />
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</b><p></p>
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<img src="https://lh5.googleusercontent.com/-PCJG1UXHvFE/TnoupyFzHZI/AAAAAAAAA5c/RrRKz2SRAnY/s800/unit1.gif" style=padding-left:250px;" height="39" width="177" />
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</b><p></p>
 +
 +
<img src="https://lh5.googleusercontent.com/-jBQEd-ZABYc/TnouphfUKFI/AAAAAAAAA5U/LfsThuY0LmY/s800/unit2.gif" style=padding-left:250px;" height="38" width="139" />
 +
</b><p></p>
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 +
 +
<p>
 +
I'm pretty sure this little dissertation could be extended a lot, but the main concepts has been exposed here, and they are enought to addapt and use in your wire characterizations. You can write me to biotoscano@gmail.com to discuss the wire kinetics.
 +
</p>
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 +
<p>
 +
Thanks, Carlos Toscano Ochoa (biology student and amateur mathematician)
 +
</p>
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<img src="https://lh5.googleusercontent.com/-FPccLXcfUTU/Tnori1Aby4I/AAAAAAAAA2Y/yqLbF62XQmQ/s288/la%252520foto%2525201.JPG" style=padding-left:250px;" height="215" width="288" />
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<p>
 +
(this is me, conceiving all this disturbing math models)
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</p>
<div id="forum">
<div id="forum">

Latest revision as of 02:44, 22 September 2011

Wire Kinetics



Our approach to the modeling of our project is centered in the properties of wires. A wire is composed by three elements: EHW, the Emitter Half-Wire, a cell with the ability to produce an arbitrary BioBit "i" at an spacefic rate; the SINK, a cell that can degrade the BioBit "i" at another specefic rate and a RHW, the Receptor Half-Wire, that's able to sense the concentration of "i" in the culture media and induce gene expresion in response to it. Our project is based in CBW, Chemical-Based Wires, so the BioBit is a chemical compound, in our case, an quorum sensing AHL molecule, it doesn't matter which one (we also consider the LBW, Light-Based Wires, where a light with a specific spectrum is the BioBit). We are going to assume that the RHW and concentration of "i", [i], is known. We don't want to know the association constant of the molecule to its receptor, but the relation between the concentration of i and the induction of a reporter gene. It would be perfect if we could know the concentration of a BioBit i inferred from the properties of the EHW and the SINK, the two types of cells, in our case bacteria, that are going to define the final concentration of the BioBit "i".

First consideration we have to know is if our circuit is going to run in the exponential phase of growth, or in the stationary phase. We are going to assume that it is going to work in the stationary phase, where the bacterial densities are constants. So, let next equation be the rate of BioBit "i" production and degradation:

Where K_B is the rate of biosynthesis of BioBit "i" by the EHW and ρ_E is the density of EHW bacteria in the culture, and K_D is the rate of degradation of BioBit "i" by the SINK and ρ_S is the density of SINK bacteria in the culture. Now, you can see the sequence of calculus until get the primitive:















Now, we assume that the concentration of i(t) at t=0 is i(0) to find the value of the constant:





And this is the BioBit i concentration function of time and taking into account the density of bacteria and the rates of production and degradation of "i":



Now, it is interesting if we can get the concentration of BioBit "i" at equilibrium, this is, when time tends to infinity:





Another interesting thing that we can obtain from that equation is the time it takes to reach a certain fraction α (from 0 to 1) of equilibrium concentration:



So, we have a very interesting equation with great potential but, how can we get the values of biosynthesis and degradation constants and the bacterial densities? The first thing we have to do is to create a cell with a RHW(i) coupled to a reporter gene (lacZ with ONPG, for instance), that is RHW_i>lacZ, and then, we make a messure of reporter activity for some differents concentrations of BioBit "i" over time:

Now, we have to build another construction to get the behaviour of the EHW, a RHW(j) coupled to the EHW(i):

Next experiment will let us to characterize the EHW biosynthesis constant. Once you have another verified RWH, RHW(j) in this case, you have to add the enought amount of "j" bbit to the medium for highest gene expresion, then, measure the reporter signal over time and find the curve that fits with it using the curve for RHW(i). This will let us know, if we consider the first part of our initial equation, kinetics constants of our EHW:

Considering the initial conditions,

The solution of the equation is:

So, with the previous experiment, we can get pairs of data like {t,i(t)} taken from the selected curves. And, if we know the bacterial density of EHW(i) (it would be necessary to find the relation between cells/mL and DO(&lamda;=600) to facilitate work), we can estimate K_B.

To estimate the SINK kinetics, we have to build a bacteria with the SINK(i) set of genes and the bacteria with the RHW(i)>ReporterGene configuration taken from the previous experiments. We need culture media with some differents known concentrations of bbit "i" and SINK bacteria. Then, we have to let pass a fixed amount of time and filter the culture media. And now, we have to add RHW(i)>ReporterGene to the filtered media and check the generated curve from the characterization experiment of RHW. This will generate pairs of data like {i(0),i(t)} with "t" a fixed constant. Finally, we have to consider the kinetics of isolated sink:

And the conditions are:

So the final equation is:

And from here, we can get an estimation of K_D using the pairs of {i(0),i(t)} data. This equation is not only useful to characterize the SINK degradation constant. When a wire is switched off, the amount of bbits in media is fixed because its productions stops. Usually, it will be the equilibrium concentration of bbits. We can get the time that takes to reduce this concentration to a fraction α of initial amount (α is between 0 and 1); this is what we call the extinction time:

To conclude, we consider you have to see is the graph of i(t) function of time and b=K_D*ρ_S, once fixed the K_B*ρ_E value (in this case is equal to 1):

The units of time are minutes and liquids are messured in mL. The units of other constants are:

I'm pretty sure this little dissertation could be extended a lot, but the main concepts has been exposed here, and they are enought to addapt and use in your wire characterizations. You can write me to biotoscano@gmail.com to discuss the wire kinetics.

Thanks, Carlos Toscano Ochoa (biology student and amateur mathematician)

(this is me, conceiving all this disturbing math models)

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