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 (Brezel)
![](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
.