iSenseDNA Objectives

Bring DNA-Nanostructures beyond the state-of-the-art: building and exploiting next-generation enzymes portfolio that is enable to modify DNA structures.

Use bioinformatics approaches to predict the 3D structure of conformational states by modelling real time evolution of interacting DNA-NT and proteins, as well as machine learning (ML) models to directly link the atomistic structure, conformational state, and dynamics

Experimental assessment of protein-DNA-NT binding by combining dual-frequency comb and two-dimensional infrared (2DIR) non-linear spectroscopy techniques for the detection of vibrational signatures of organic molecular systems, to recognize structural changes in the optical signal both in real-time and with an extreme spectral and temporal sensitivity, respectively.

Describe DNA-NT/protein interactions by 3D analysis of DNA-NT and model proteins, towards amelioration of widely applied gene editing technologies for precision medicine and drug discovery.