SUPR
Protein interactions predictions using RoseTTAFold All-Atom
Dnr:

NAISS 2024/22-725

Type:

NAISS Small Compute

Principal Investigator:

Ilaria Piazza

Affiliation:

Karolinska Institutet

Start Date:

2024-05-31

End Date:

2024-12-01

Primary Classification:

10203: Bioinformatics (Computational Biology) (applications to be 10610)

Allocation

Abstract

My group is interested in the relationship between metabolism and the proteome and we are constantly seeking to figure out how natural small molecules interact with proteins. We have recently generated a large scale of proteomics experimental data that, together with the current development of structural bioinformatics tools such as RoseTTAFold All-Atom (Krishna et al. 2024) and Alphafold 2 (Jumper et al. 2021) give us a new opportunity to combine our experimental approach with computational predictions. Our aim is to run computationally all the protein-metabolite interactions that we already tested in our laboratory to refine and complete our experimental results. Moreover, we will develop an integrated computational and experimental pipeline to increase the coverage of our experiments and at the same time validate the docking predictions.