Identifying Hubs in Protein Interaction Networks Export

@article{citeulike:4433795, abstract = {<sec> <title>Background</title> <p>In spite of the scale-free degree distribution that characterizes most protein interaction networks (PINs), it is common to define an <italic>ad hoc</italic> degree scale that defines ” hub” proteins having special topological and functional significance. This raises the concern that some conclusions on the functional significance of proteins based on network properties may not be robust.</p> </sec><sec> <title>Methodology</title> <p>In this paper we present three objective methods to define hub proteins in PINs: one is a purely topological method and two others are based on gene expression and function. By applying these methods to four distinct PINs, we examine the extent of agreement among these methods and implications of these results on network construction.</p> </sec><sec> <title>Conclusions</title> <p>We find that the methods agree well for networks that contain a balance between error-free and unbiased interactions, indicating that the hub concept is meaningful for such networks.</p> </sec>}, author = {Vallabhajosyula, Ravishankar R. and Chakravarti, Deboki and Lutfeali, Samina and Ray, Animesh and Raval, Alpan}, citeulike-article-id = {4433795}, citeulike-linkout-0 = {http://dx.doi.org/10.1371/journal.pone.0005344}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/19399170}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=19399170}, doi = {10.1371/journal.pone.0005344}, journal = {PLoS ONE}, keywords = {hubs, network-analysis, network-equations}, month = {April}, number = {4}, pages = {e5344+}, posted-at = {2009-07-03 22:32:30}, priority = {2}, publisher = {Public Library of Science}, title = {Identifying Hubs in Protein Interaction Networks}, url = {http://dx.doi.org/10.1371/journal.pone.0005344}, volume = {4}, year = {2009} }

TY - JOUR ID - citeulike:4433795 L3 - citeulike-article-id:4433795 N2 - <sec> <title>Background</title> <p>In spite of the scale-free degree distribution that characterizes most protein interaction networks (PINs), it is common to define an <italic>ad hoc</italic> degree scale that defines “hub” proteins having special topological and functional significance. This raises the concern that some conclusions on the functional significance of proteins based on network properties may not be robust.</p> </sec><sec> <title>Methodology</title> <p>In this paper we present three objective methods to define hub proteins in PINs: one is a purely topological method and two others are based on gene expression and function. By applying these methods to four distinct PINs, we examine the extent of agreement among these methods and implications of these results on network construction.</p> </sec><sec> <title>Conclusions</title> <p>We find that the methods agree well for networks that contain a balance between error-free and unbiased interactions, indicating that the hub concept is meaningful for such networks.</p> </sec> IS - 4 JF - PLoS ONE TI - Identifying Hubs in Protein Interaction Networks PB - Public Library of Science VL - 4 SP - e5344 KW - hubs KW - network-analysis KW - network-equations AU - Vallabhajosyula, Ravishankar AU - Chakravarti, Deboki AU - Lutfeali, Samina AU - Ray, Animesh AU - Raval, Alpan PY - 2009/04/28/ UR - http://dx.doi.org/10.1371/journal.pone.0005344 ER -