SNIC
SUPR
SNIC SUPR
Comprehensive network analysis for all cancers
Dnr:

SNIC 2017/1-574

Type:

SNAC Medium

Principal Investigator:

Adil Mardinoglu

Affiliation:

Chalmers tekniska högskola

Start Date:

2018-01-01

End Date:

2019-01-01

Primary Classification:

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

Allocation

Abstract

Based on interactome and genome-scale metabolic models, we will investigate heterogeneity of cancers. Using large gene expression profiles, we will generate personalized models and sub-networks and find biomarkers based on our findings about their heterogeneity. In addition, we will analyze target protein structure in order to find small molecular inhibitors