Project: Predicting biophysical characteristics of proteins from their amino acid sequence
In this project, the student will develop prediction approaches that are based on estimations of dynamics and conformation directly from experimental NMR data. These estimations are less accurate but can encompass the whole range of protein behaviour, from intrinsically disorded via molten globule to fully folded. We have evidence that the predictions add a new, physical, dimension to the protein sequence that has many uses. In this project we will apply this approach to the design of RRM proteins, especially to encompass their dynamics.
This project involves a three-month secondment at CSIC (Valencia, Spain) to learn about incorporating molecular information in pathway modelling for synthetic biology.
H2020-MSCA-ITN-2018 813239 (Jan. 1, 19-Dec. 31, 23)
RNAct - Enabling proteins with RNA recognition motifs for synthetic biology and bio-analytics