On the integration of protein-protein interaction networks with gene expression and 3D structural data: What can be gained?
IASI-CNR, Roma, Italy
2 Department of Statistics, Purdue University, West-Lafayette, IN, USA
3 College of Computing, Georgia Institute of Technology, Atlanta, GA, USA
* e-mail: firstname.lastname@example.org
Accepted: 15 May 2014
Published online: 24 June 2014
The biological role of proteins has been analyzed from different perspectives, initially by considering proteins as isolated biological entities, then as cooperating entities that perform their function by interacting with other molecules. There are other dimensions that are important for the complete understanding of the biological processes: time and location. However a protein is rarely annotated with temporal and spatial information. Experimental Protein-Proteins Interaction (PPI) data are static; furthermore they generally do not include transient interactions which are a considerable fraction of the interactome of many organisms. One way to incorporate temporal and condition information is to use other sources of information, such as gene expression data and 3D structural data. Here we review work done to understand the insight that can be gained by enriching PPI data with gene expression and 3D structural data. In particular, we address the following questions: Can the dynamics of a single protein or of an interaction be accurately derived from these data? Can the assembly-disassembly of protein complexes be traced over time? What type of topological changes occur in a PPI network architecture over time?
© Società Italiana di Fisica and Springer-Verlag Berlin Heidelberg, 2014