On the structure of proten-protein interaction networks

Biology – Quantitative Biology – Molecular Networks

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

6 pages, 6 figures. To appear in Biochem. Soc. Trans

Scientific paper

We present a simple model for the underlying structure of protein-protein pairwise interaction graphs that is based on the way in which proteins attach to each other in experiments such as yeast two-hybrid assays. We show that data on the interactions of human proteins lend support to this model. The frequency of the number of connections per protein under this model does not follow a power law, in contrast to the reported behaviour of data from large scale yeast two-hybrid screens of yeast protein-protein interactions. Sampling sub-graphs from the underlying graphs generated with our model, in a way analogous to the sampling performed in large scale yeast two-hybrid searches, gives degree distributions that differ subtly from the power law and that fit the observed data better than the power law itself. Our results show that the observation of approximate power law behaviour in a sampled sub-graph does not imply that the underlying graph follows a power law.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

On the structure of proten-protein interaction networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with On the structure of proten-protein interaction networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and On the structure of proten-protein interaction networks will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-183007

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.