AI-Driven Design of RNA-based Sensors for In-Vitro Diagnostics
Masterthesis
Goal of the Project:
The goal is to design synthetic intrinsic terminators that respond to specific biomarker small RNAs. These terminators should exhibit controlled transcription termination and switchability based on external RNA signals. The project will use computational tools, AI, and experimental data to develop and refine these terminators. By combining AI with established knowledge of sequence requirements, thermodynamics, and medium-throughput screening, we aim to develop highly efficient and responsive terminator systems.
