Dynamic Defect Annealing within Enzymatic Reaction Networks to Design Autonomous Reconfigurable ATP-Fueled Non-Equilibrium Multicomponent Systems (C03)

• Subject Area: Bioinformatics and Theoretical Biology ; Preparatory and Physical Chemistry of Polymers
• Term: since 2023
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 465145163

Combining the expertise of Walther (DNA nanoscience/systems chemistry) and Gerber (mathematical modelling/machine learning), we aim to understand and predict ATP-driven DNA-based enzymatic reaction networks (ERNs) in which structural point defects of DNA building blocks affect kinetics and autonomous structural reconfiguration. WP1 focuses on measuring kinetics and advancing system design, WP2 on formulating mathematical models for the CRNs and rapidly extending these models using machine learning approaches, while in WP3 we aim to conduct prospective model-based reviews of system behavior arising from extra- and interpolated machine learning spaces.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1552: Defects and Defect Engineering in Soft Matter
• Applicant Institution: Johannes Gutenberg-Universität Mainz
• Project Heads: Professorin Dr. Susanne Gerber, Ph.D.; Professor Dr. Andreas Walther