Difference between revisions of "Team:Heidelberg/Software/SafetyNet"

When performing large scale, automated directed evolution experiments a manual assertion of every sequence in the library is impossible. However profound background and quality checks on sequences are crucial in the automated context as the experimentator has no direct control of the processes. This especially holds true for in silico evolution, where the immediate effect of a mutation is not assessable. In order to safeguard our in vivo and in silico directed evolution experiments we developed Safetynet. Safetynet is a web available, neural network based sequence check. It does not only infer the function and species of origin, but does also assert the safety level assigned to the origin species and the potential harm of an input sequence. We applied SafetyNet throughout our directed evolution experiments to ensure safe and flawless sequence improvement all the while preventing the unintended emergence of harmful traits.