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Objectives

Objective 1

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

Objective 2

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

Objective 3

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.

Objective 4

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.

ACKNOWLEDGEMENT

  • This project has received funding from the European Union under grant agreement No 101046920. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Innovation Council. Neither the European Union nor the European Innovation Council can be held responsible for them.

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If you have any questions concerning the project, or would like to receive more information on iSenseDNA get in touch with us.

Antonietta Parracino – Project Manager of Computational Biochemistry Research Group

antonietta.parracino@kemi.uu.se