Predicting protein function from protein/protein interaction data: a probabilistic approach

Predicting protein function from protein/protein interaction data: a probabilistic approach

MOTIVATION The development of experimental methods for genome scale analysis of molecular interaction networks has made possible new approaches to inferring protein function. This paper describes a method of assigning functions based on a probabilistic analysis of graph neighborhoods in a protein-protein interaction network. The method exploits the fact that graph neighbors are more likely to s...

Predicting Protein Complexes from PPI Data: A Core-Attachment Approach

UNLABELLED Protein complexes play a critical role in many biological processes. Identifying the component proteins in a protein complex is an important step in understanding the complex as well as the related biological activities. This paper addresses the problem of predicting protein complexes from the protein-protein interaction (PPI) network of one species using a computational approach. Mo...

Predicting Protein Functions from Protein Interaction Networks

Functional characterization of genes and their protein products is essential to biological and clinical research. Yet, there is still no reliable way of assigning functional annotations to proteins in a high-throughput manner. In this chapter, the authors provide an introduction to the task of automated protein function prediction. They discuss about the motivation for automated protein functio...

Probabilistic Protein Function Prediction from Heterogeneous Genome-Wide Data

Dramatic improvements in high throughput sequencing technologies have led to a staggering growth in the number of predicted genes. However, a large fraction of these newly discovered genes do not have a functional assignment. Fortunately, a variety of novel high-throughput genome-wide functional screening technologies provide important clues that shed light on gene function. The integration of ...

Predicting Protein Function using Text Data from the Biomedical Literature