Title : ( Prediction of high-confidence protein-protein interactions using multiple approaches )
Authors: Mahmood Akhavan Mahdavi ,
Full TextAbstract
Abstract: When multiple approaches agree on a protein-protein interaction, that link would be highly confident. The confidence increases when selected approaches utilize various types of information for their prediction schemes. Z-score for a dataset of such interactions was calculated and the probability of generating such a dataset based on random selection was obtained as low as zero. It was also found that PPIs predicted by multiple approaches are more biologically relevant and function more as metabolic proteins in cytoplasm. Growth and protein transport are two specific metabolic processes regulated by proteins involved in the interactions predicted by multiple approaches.
Keywords
, protein-protein interaction, phylogenetic profiles, gene expression profiles, maximum likelihood estimation.
@inproceedings{paperid:1010516,
author = {Akhavan Mahdavi, Mahmood},
title = {Prediction of high-confidence protein-protein interactions using multiple approaches},
booktitle = {8th World Congress of Chemical Engineering},
year = {2009},
location = {Montreal},
keywords = {protein-protein interaction; phylogenetic profiles; gene expression profiles; maximum likelihood estimation.},
}
%0 Conference Proceedings
%T Prediction of high-confidence protein-protein interactions using multiple approaches
%A Akhavan Mahdavi, Mahmood
%J 8th World Congress of Chemical Engineering
%D 2009
