Modeling proteome networks with range-dependent graphs.

Journal article

In this paper we consider the problem of characterizing and modeling large-scale protein-protein association networks using a class of range-dependent graphs which possess appropriate small world properties. These graphs may be employed in representing given association network using a maximum likelihood approach. This in turn annotates every observed association with its 'range', representing the tendency for such an association to be transitive. The application of a very rapidly developing field of graph theory to the emerging field of proetemics is novel and allows for a many-to-many relationship between individual proteins and groupings of proteins, which in turn may correspond to distinct functional behavior.

Authors: Grindrod, P

• Journal: American journal of pharmacogenomics : genomics-related research in drug development and clinical practice
• Volume: 3
• Issue: 1
• Pages: 1-4
• Publication date: 2003-01-01
• DOI: 10.1038/sj.tpj.6500165
• ISSN: 1175-2203
• Language: English
• Keywords: Proteome; Proteins; Models, Biological