Difference between revisions of "Domain-based PPI network by Weighted Mutual Information (WMI)"

From Bioinformatics Lab
Jump to: navigation, search
Line 1: Line 1:
<big>We present a method for inferring accurate functional PPIs based on the similarity of domain compositions between proteins by ''weighted mutual information'' that assigned different weights to domains based on their genome-wide frequencies.
+
Functional protein-protein interaction (PPI) networks elucidate molecular pathways underlying complex phenotypes, including those of human diseases. Extrapolation of domain-domain interac-tions (DDIs) from known PPIs is a major domain-based method for inferring functional PPI net-works. However, the protein domain is a functional unit of the protein. Therefore, we should be able to effectively infer functional interactions between proteins based on the co-occurrence of do-mains.
</big>
+
Here, we present a method for inferring accurate functional PPIs based on the similarity of domain composition between proteins by weighted mutual information that assigned different weights to the domains based on their genome-wide frequencies.  
Catapult is a computer algorithm for associating new genes with traits, phenotypes, and diseases. Catapult leverages hundreds of thousands of known individual gene-phenotype associations from humans, mice, yeast, Arabidopsis, and C. elegans, and interprets them with the aid of a genome-scale functional network of human genes (HumanNet) in a graph-based formalism in order to rank new candidate genes
+
  
*[http://www.netbiolab.org/wiki/images/0/09/WMI_program.zip Source codes for calculating WMI]
+
*[http://www.netbiolab.org/wiki/images/0/09/WMI_program.zip Source codes for WMI calculation]
*[http://www.netbiolab.org/wiki/images/1/1e/SC_WMI_12K.txt Yeast PPI network]
+
*[http://www.netbiolab.org/wiki/images/1/1e/SC_WMI_12K.txt Domain-based yeast PPI network by WMI]
*[http://www.netbiolab.org/wiki/images/4/44/HS_WMI_94K.txt Human PPI network]
+
*[http://www.netbiolab.org/wiki/images/4/44/HS_WMI_94K.txt Domain-based human PPI network by WMI]
*
+
 
Citation: Jung Eun Shim and Insuk Lee, Weighted mutual information analysis sub-stantially improves domain-based functional network models (Under review)
+
Citation: Jung Eun Shim and Insuk Lee, Weighted mutual information analysis substantially improves domain-based functional network models (Under review)

Revision as of 16:17, 26 March 2016

Functional protein-protein interaction (PPI) networks elucidate molecular pathways underlying complex phenotypes, including those of human diseases. Extrapolation of domain-domain interac-tions (DDIs) from known PPIs is a major domain-based method for inferring functional PPI net-works. However, the protein domain is a functional unit of the protein. Therefore, we should be able to effectively infer functional interactions between proteins based on the co-occurrence of do-mains. Here, we present a method for inferring accurate functional PPIs based on the similarity of domain composition between proteins by weighted mutual information that assigned different weights to the domains based on their genome-wide frequencies.

Citation: Jung Eun Shim and Insuk Lee, Weighted mutual information analysis substantially improves domain-based functional network models (Under review)

Personal tools
Namespaces

Variants
Actions
Navigation
Toolbox