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A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
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PFP/ESG: automated protein function prediction servers enhanced with Gene Ontology visualization tool
Ishita K Khan1, Qing Wei1, Meghana Chitale1
1Department of Computer Science and Department of Biological Science, Purdue University, West Lafayette, IN 47907, USA.
Bioinformatics (Oxford, England)
|October 3, 2014
Summary
We present interactive web servers for Protein Function Prediction (PFP) and Extended Similarity Group (ESG) algorithms. These tools visualize Gene Ontology (GO) predictions hierarchically, aiding in protein function annotation.
Area of Science:
- Computational biology
- Bioinformatics
Background:
- Protein Function Prediction (PFP) and Extended Similarity Group (ESG) are algorithms for predicting Gene Ontology (GO) annotations.
- These methods utilize sequence similarity and GO term associations for prediction.
Purpose of the Study:
- To provide interactive web servers for the PFP and ESG algorithms.
- To offer effective visualization of Gene Ontology predictions in a hierarchical topology.
Main Methods:
- Development of interactive web servers for PFP and ESG.
- Implementation of hierarchical visualization for GO predictions.
Main Results:
- Freely available web servers for PFP and ESG algorithms.
- Enhanced visualization of protein function predictions.
Conclusions:
- The PFP and ESG web servers facilitate protein function annotation through interactive visualization.
- These tools enhance the accessibility and interpretability of Gene Ontology predictions.
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