Difference between revisions of "Team:SCUT-ChinaA/Software"

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As you can see in the model page, we have successfully used our model to help us design our experiment. If you are interested in our model, you can use our python software tool and even modify it if you like. You can find it on the GitHub.
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While building our model, we developed a software with python to help us find the optimal solution. After we finished, we modified the software and made it universal, which means it can be used by other researchers. The software is tiny and very easy to use, and even those who are not familiar with python can use it, for we have written a detailed document to tell people how to use it and put it on the Github with the software tool. The software has showed its power in our project, thus we think that more researchers may benefit from it. What's more, the code of the software is commented and easy to understand, which means you can modify it to do more things as well. So, we think this software should be considered and it worths a prize.
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Revision as of 00:06, 17 October 2018

SCUT-ChinaA

As you can see in the model page, we have successfully used our model to help us design our experiment. If you are interested in our model, you can use our python software tool and even modify it if you like. You can find it on the GitHub.

Input

While building our model, we developed a software with python to help us find the optimal solution. After we finished, we modified the software and made it universal, which means it can be used by other researchers. The software is tiny and very easy to use, and even those who are not familiar with python can use it, for we have written a detailed document to tell people how to use it and put it on the Github with the software tool. The software has showed its power in our project, thus we think that more researchers may benefit from it. What's more, the code of the software is commented and easy to understand, which means you can modify it to do more things as well. So, we think this software should be considered and it worths a prize.

Output

While building our model, we developed a software tool to help us find the optimal solution. After we finished, we modified the software and made it universal, which means it can be used by other researchers.

enzyme Substrate Turnover Number [1/s] KM Value [mM]
ERG10 acetyl-CoA 2.1 0.33
ERG13 acetoacetyl-CoA, acetyl-CoA 4.6 acetoacetyl-CoA:0.0014, acetyl-CoA:0.05
HMG1 hydroxymethylglutaryl-CoA 0.023 0.045
ERG12 mevalonate 2.36 0.012
ERG8 phosphomevalonate 3.4 0.0042
ERG19 (R,S)-5-diphosphomevalonate 5.9 0.0091
NDPS1 isopentenyl diphosphate 0.14 0.047

While building our model, we developed a software with python to help us find the optimal solution. After we finished, we modified the software and made it universal, which means it can be used by other researchers. The software is tiny and very easy to use, and even those who are not familiar with python can use it, for we have written a detailed document to tell people how to use it and put it on the Github with the software tool. The software has showed its power in our project, thus we think that more researchers may benefit from it. What's more, the code of the software is commented and easy to understand, which means you can modify it to do more things as well. So, we think this software should be considered and it worths a prize.