SNIC
SUPR
SNIC SUPR
Design, Prediction and evolution of Protein Self-assembly
Dnr:

SNIC 2018/3-307

Type:

SNAC Medium

Principal Investigator:

Ingemar André

Affiliation:

Lunds universitet

Start Date:

2018-07-01

End Date:

2019-07-01

Primary Classification:

10602: Biochemistry and Molecular Biology

Secondary Classification:

10601: Structural Biology

Tertiary Classification:

10610: Bioinformatics and Systems Biology (methods development to be 10203)

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. We also develop structure-based modeling methods to simulate the evolution of protein structure. The simulations are based on the ROSETTA macromolecular modeling suite. ROSETTA is the leading program package for both structure prediction and protein design.