Genomics Proteomics and Bioinformatics, ( ISI ), Volume (5), No (3), Year (2007-9) , Pages (177-186)

Title : Prediction of protein-protein interactions using protein signature profiling. ( Prediction of protein-protein interactions using protein signature profiling. )

Authors: Mahmood Akhavan Mahdavi , Yen-Han Lin ,

Access to full-text not allowed by authors

Citation: BibTeX | EndNote

Protein domains are conserved and functionally independent structures that play an important role in interactions among related proteins. Domain-domain interactions have been recently used to predict protein-protein interactions (PPI). In general, the interaction probability of a pair of domains is scored using a trained scoring function. Satisfying a threshold, the protein pairs carrying those domains are regarded as ‘interacting’. In this work the signature contents of proteins were utilized to predict PPI pairs in Saccharomyces cerevisiae, Caenorhabditis elegans, and Homo sapiens. Similarity between protein signature patterns was scored and PPI predictions were drawn based on the binary similarity scoring function. Results show that the true positive rate of prediction by means of the proposed approach is approximately 32% higher than that using the maximum likelihood estimation method when compared to a test set, resulting in 22% increase in the area under the receiving operator characteristic curve. When proteins containing one and two signature contents were removed the sensitivity of the predicted PPI pairs increased significantly. The predicted PPI pairs are on average 11 times more likely to interact than the random selection at a confidence level of 0.95, and on average 4 times better than that in both phylogenetic profiling and gene expression profiling methods.


, Protein, protein interaction protein signature ROC
برای دانلود از شناسه و رمز عبور پرتال پویا استفاده کنید.

author = {Akhavan Mahdavi, Mahmood and Yen-Han Lin},
title = {Prediction of protein-protein interactions using protein signature profiling.},
journal = {Genomics Proteomics and Bioinformatics},
year = {2007},
volume = {5},
number = {3},
month = {September},
issn = {1672-0229},
pages = {177--186},
numpages = {9},
keywords = {Protein-protein interaction protein signature ROC Curve},


%0 Journal Article
%T Prediction of protein-protein interactions using protein signature profiling.
%A Akhavan Mahdavi, Mahmood
%A Yen-Han Lin
%J Genomics Proteomics and Bioinformatics
%@ 1672-0229
%D 2007