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{{Heidelberg/horibox|https://static.igem.org/mediawiki/2017/4/4a/T--Heidelberg--2017_LogoBackgr.jpg|yellow| | {{Heidelberg/horibox|https://static.igem.org/mediawiki/2017/4/4a/T--Heidelberg--2017_LogoBackgr.jpg|yellow| | ||
− | Introduced a unique in vivo and in silico directed evolution interface as novel engineering paradigm to synthetic biology| | + | Introduced a unique in vivo and in silico directed evolution interface as novel engineering paradigm to synthetic biology|width=10% |
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{{Heidelberg/horibox|https://static.igem.org/mediawiki/2017/8/85/T--Heidelberg--2017_Pretzel.jpg|yellow| | {{Heidelberg/horibox|https://static.igem.org/mediawiki/2017/8/85/T--Heidelberg--2017_Pretzel.jpg|yellow| | ||
− | developed PREDCEL, as simple, cheap and easy-to-implement PACE alternative| | + | developed PREDCEL, as simple, cheap and easy-to-implement PACE alternative|width=10% |
}} | }} | ||
{{Heidelberg/horibox|https://static.igem.org/mediawiki/2017/3/3c/T--Heidelberg--2017_RiboswitchIcon.jpg|yellow| | {{Heidelberg/horibox|https://static.igem.org/mediawiki/2017/3/3c/T--Heidelberg--2017_RiboswitchIcon.jpg|yellow| | ||
− | outlined a unique workflow for in vivo enzyme evolution based on computationally predicted riboswitches| | + | outlined a unique workflow for in vivo enzyme evolution based on computationally predicted riboswitches|width=10% |
}} | }} | ||
{{Heidelberg/horibox|https://static.igem.org/mediawiki/2017/d/d8/T--Heidelberg--2017.jpeg|yellow| | {{Heidelberg/horibox|https://static.igem.org/mediawiki/2017/d/d8/T--Heidelberg--2017.jpeg|yellow| | ||
− | First iGEM team to use an engineered cytochrome to catalyze carbon-silicon bond formation in whole cell extracts (Carbon-silicon)| | + | First iGEM team to use an engineered cytochrome to catalyze carbon-silicon bond formation in whole cell extracts (Carbon-silicon)|width=10% |
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{{Heidelberg/horibox|https://static.igem.org/mediawiki/2017/5/5e/T--Heidelberg--2017_Human_Practice2.png|yellow| | {{Heidelberg/horibox|https://static.igem.org/mediawiki/2017/5/5e/T--Heidelberg--2017_Human_Practice2.png|yellow| | ||
− | Successfully integrated the feedback of experts and the broader public into our project design at diverse layers| | + | Successfully integrated the feedback of experts and the broader public into our project design at diverse layers|width=10% |
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− | {{Heidelberg/horibox|https://static.igem.org/mediawiki/2017/b/b7/T--Heidelberg--2017_DeeProtein_LOGO.jpg|yellow| | + | {{Heidelberg/horibox|https://static.igem.org/mediawiki/2017/b/b7/T--Heidelberg--2017_DeeProtein_LOGO.jpg|yellow| |
Frist iGEM team to apply deep learning to protein engineering | Frist iGEM team to apply deep learning to protein engineering | ||
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Revision as of 02:51, 2 November 2017
Achievements
Subtitle
![](https://static.igem.org/mediawiki/2017/4/4a/T--Heidelberg--2017_LogoBackgr.jpg)
Introduced a unique in vivo and in silico directed evolution interface as novel engineering paradigm to synthetic biology
![](https://static.igem.org/mediawiki/2017/8/85/T--Heidelberg--2017_Pretzel.jpg)
developed PREDCEL, as simple, cheap and easy-to-implement PACE alternative
![](https://static.igem.org/mediawiki/2017/3/3c/T--Heidelberg--2017_RiboswitchIcon.jpg)
outlined a unique workflow for in vivo enzyme evolution based on computationally predicted riboswitches
![](https://static.igem.org/mediawiki/2017/d/d8/T--Heidelberg--2017.jpeg)
First iGEM team to use an engineered cytochrome to catalyze carbon-silicon bond formation in whole cell extracts (Carbon-silicon)
![](https://static.igem.org/mediawiki/2017/5/5e/T--Heidelberg--2017_Human_Practice2.png)
Successfully integrated the feedback of experts and the broader public into our project design at diverse layers
![](https://static.igem.org/mediawiki/2017/b/b7/T--Heidelberg--2017_DeeProtein_LOGO.jpg)
Frist iGEM team to apply deep learning to protein engineering
![](https://static.igem.org/mediawiki/2017/b/b7/T--Heidelberg--2017_DeeProtein_LOGO.jpg)
Implemented SafetyNET to safeguard directed evolution experiments
![](https://static.igem.org/mediawiki/2017/b/b7/T--Heidelberg--2017_DeeProtein_LOGO.jpg)
Created and validated AiGEM, an intelligent software for generating protein functionality de novo
.