scholarly journals COFACTOR: improved protein function prediction by combining structure, sequence and protein–protein interaction information

2017 ◽  
Vol 45 (W1) ◽  
pp. W291-W299 ◽  
Author(s):  
Chengxin Zhang ◽  
Peter L. Freddolino ◽  
Yang Zhang
Keyword(s):  
Protein Interaction ◽  
Protein Function ◽  
Protein Function Prediction ◽  
Function Prediction ◽  
Interaction Information ◽  
Protein Protein Interaction

scholarly journals Predicting Protein Functions from Protein Interaction Networks

2012 ◽  
Vol 3 (4) ◽  
pp. 50-70 ◽  
Author(s):  
Hon Nian Chua ◽  
Limsoon Wong
Keyword(s):  
Protein Interaction ◽  
Protein Function ◽  
Protein Function Prediction ◽  
Functional Characterization ◽  
Function Prediction ◽  
Functional Annotations ◽  
Protein Protein Interaction ◽  
Protein Functions ◽  
High Throughput Manner

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 article, the authors provide an introduction to the task of automated protein function prediction. They discuss about the motivation for automated protein function prediction, the challenges faced in this task, as well as some approaches that are currently available. In particular, they take a closer look at methods that use protein-protein interaction for protein function prediction, elaborating on their underlying techniques and assumptions, as well as their strengths and limitations.

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