Sciweavers

Share
CSB
2002
IEEE

Prediction of Protein Function Using Protein-Protein Interaction Data

9 years 6 months ago
Prediction of Protein Function Using Protein-Protein Interaction Data
Assigning functions to novel proteins is one of the most important problems in the post-genomic era. Several approaches have been applied to this problem, including analyzing gene expression patterns, phylogenetic profiles, protein fusions and protein-protein interactions. We develop a novel approach that applies the theory of Markov random fields to infer a protein’s functions using protein-protein interaction data and the functional annotations of its interaction protein partners. For each function of interest and a protein, we predict the probability that the protein has that function using Bayesian approaches. Unlike in other available approaches for protein annotation where a protein has or does not have a function of interest, we give a probability for having the function. This probability indicates how confident we are about the prediction. We apply our method to predict cellular functions (43 categories including a category “others”) for yeast proteins defined in the...
Minghua Deng, Kui Zhang, Shipra Mehta, Ting Chen,
Added 14 Jul 2010
Updated 14 Jul 2010
Type Conference
Year 2002
Where CSB
Authors Minghua Deng, Kui Zhang, Shipra Mehta, Ting Chen, Fengzhu Sun
Comments (0)
books