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Team:INSA-Lyon/modeling
From 2014.igem.org
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<a href="https://2014.igem.org/Team:INSA-Lyon/whatis" class="hu-icon"><li class="iconmulti">WHAT IS</br>MODELING ?</li></a> | <a href="https://2014.igem.org/Team:INSA-Lyon/whatis" class="hu-icon"><li class="iconmulti">WHAT IS</br>MODELING ?</li></a> | ||
| - | < | + | <a href="https://2014.igem.org/Team:INSA-Lyon/molecular" class="hu-icon"><li class="iconmulti">MOLECULAR</br>MODELISATION</li></a> |
| - | <a href="https://2014.igem.org/Team:INSA-Lyon/formation" class="hu-icon"><li class="iconmulti">CURLI</br> | + | <a href="https://2014.igem.org/Team:INSA-Lyon/formation" class="hu-icon"><li class="iconmulti">CURLI</br>SYNTHESIS</li></a> |
| - | <a href="https://2014.igem.org/Team:INSA-Lyon/chelation" class="hu-icon"><li class="iconmulti">CHELATION</br> | + | <a href="https://2014.igem.org/Team:INSA-Lyon/chelation" class="hu-icon"><li class="iconmulti">CHELATION</br>NI</li></a> |
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<h6 align="left">What is modeling?</h6> | <h6 align="left">What is modeling?</h6> | ||
| - | + | <div align="justify"><p>Modeling is building and using a model. What is a model then? It is a theoretical way to explain a phenomenon in a simpler fashion than the real thing. It is observing a problem or a phenomenon, identifying what parameters may influence it and sort them out so that only the most important ones are kept, and finally finding out how they are related, in order to explain what happens accurately enough to be able to predict what would happen under different conditions. As such, it can take many shapes. Here are some examples of models: </p></div> | |
Latest revision as of 15:56, 11 October 2014
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PROJECT
PROJECT- PROJECT SUMMARY
- ACHIEVEMENTS
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WETLAB
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MODELING
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HUMAN PRACTICE
HUMAN
PRACTICE- HUMAN PRACTICE SUMMARY
- SYNBIO PERCEPTION
- PROJECT'S INTEREST
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TEAM
What is modeling?
Modeling is building and using a model. What is a model then? It is a theoretical way to explain a phenomenon in a simpler fashion than the real thing. It is observing a problem or a phenomenon, identifying what parameters may influence it and sort them out so that only the most important ones are kept, and finally finding out how they are related, in order to explain what happens accurately enough to be able to predict what would happen under different conditions. As such, it can take many shapes. Here are some examples of models:
| Mathematical equations | Widely spread, it enables you to efficiently modelise about anything ! | équation + graphe | Ugh! No thank you... |
| Numerical simulations | Sometimes easier to use, but there may not exist a program yet for what you want to modelise... | image sybyl | I'm not really good with computers. ^^" |
| Drawings and outlines | A plain drawing is often enough to explain the processes behind a given mechanism without explaining what is happening at every levels, especially in biology ! | schéma mitose | OH ! I know this one ! |
CurLy'on team's modeling work
As very little litterature exists about curli models, especially about it's structure, this year we chose to work along two directions:
- we studied a molecular model of the curlin elementary subunit, CsgA, and it's engineered form;
- we developped both a mathematical model describing the polymerisation of CsgA, and a simulation program of the same phenomenon ; our aim was for those two models to serve as a basis for future teams working with curli.
