Archaeoinformatics - Data Science

BA/MA: Investigating Fitness Effects for Beta-Lactamase with Recurrent Neural Networks

Contact: Steffen Strohm, M.Sc., Christian Beth, M.Sc.

In this work the goal is to predict the fitness of Bacteria against beta-Lactam-based antibiotics in silico (in the computer). This is done with protein sequence data from the beta-Lactamase enzyme, which is crucial for the survival of beta-Lactam resistant bacteria. The performance of the predictor in then evaluated on real-world data obtained from in vitro test (in the lab).