Design and Prediction of Protein Self-assembly

Dnr:

SNIC 2017/1-265

Type:

SNAC Medium

Principal Investigator:

Ingemar André

Affiliation:

Lunds universitet

Start Date:

2017-07-01

End Date:

2018-07-01

Primary Classification:

10602: Biokemi och molekylärbiologi

Secondary Classification:

10601: Strukturbiologi

Tertiary Classification:

10610: Bioinformatik och systembiologi (metodutveckling under 10203)

Webpage:

http://www.rosettacommons.org/

Allocation

Abstract

The overall goal of this project is to predict the 3D structures of homomeric protein complexes, increase our understanding of how the amino acid sequence encodes the quaternary structure of protein complexes and to develop methods to rationally control the oligomerization state of proteins. Structure-based modeling and computational protein design forms the foundation of our research. The simulations are based on the ROSETTA macromolecular modeling suite. ROSETTA is the leading program package for both structure prediction and protein design.