Removing bias against membrane proteins in interaction networks.
Cellular interaction networks can be used to analyze the effects on cell signaling and other functional consequences of perturbations to cellular physiology. Thus, several methods have been used to
...
reconstitute interaction networks from multiple published datasets. However, the structure and performance of these networks depends on both the quality and the unbiased nature of the original data. Due to the inherent bias against membrane proteins in protein-protein interaction (PPI) data, interaction networks can be compromised particularly if they are to be used in conjunction with drug screening efforts, since most drug-targets are membrane proteins.To overcome the experimental bias against PPIs involving membrane-associated proteins scientists used a probabilistic approach based on a hypergeometric distribution followed by logistic regression to simultaneously optimize the weights of different sources of interaction data.
The conclusion was made here that the bias against membrane proteins can and should be corrected in order to have a better representation of the interactions and topological properties of protein interaction networks.
Authors: Glauber C Brito and David W Andrews.
Source: BMC Systems Biology 2011, 5:169 doi:10.1186/1752-0509-5-169.
Publication date: 19th Oct, 2011.
Comment feed for this post
