Abstract
Protein-Protein Interactions (PPIs) play a very important role in many cellular processes and a variety of experimental approaches have been developed for their identification. These approaches however are partial, timeconsuming and they usually suffer from high error rates. Recently, computational methods have been employed to assist for the prediction producing encouraging results. With this work we offer a critical review of recent computational PPI prediction methods by evaluating their strengths and limitations. Moreover we discuss open problems common to all schemes and try to suggest solutions. Finally we propose future research directions which could potentially more effectively handle some of the restrictions of existing approaches.
Keywords: Protein-Protein interactions, computational methods, machine learning, databases, experimental methods, SVM, random forests, Bayesian Classifiers, Neural Networks
Current Bioinformatics
Title: Computational Approaches for the Prediction of Protein-Protein Interactions: A Survey
Volume: 6 Issue: 4
Author(s): Konstantinos A. Theofilatos, Christos M. Dimitrakopoulos, Athanasios K. Tsakalidis, Spyridon D. Likothanassis, Stergios T. Papadimitriou and Seferina P. Mavroudi
Affiliation:
Keywords: Protein-Protein interactions, computational methods, machine learning, databases, experimental methods, SVM, random forests, Bayesian Classifiers, Neural Networks
Abstract: Protein-Protein Interactions (PPIs) play a very important role in many cellular processes and a variety of experimental approaches have been developed for their identification. These approaches however are partial, timeconsuming and they usually suffer from high error rates. Recently, computational methods have been employed to assist for the prediction producing encouraging results. With this work we offer a critical review of recent computational PPI prediction methods by evaluating their strengths and limitations. Moreover we discuss open problems common to all schemes and try to suggest solutions. Finally we propose future research directions which could potentially more effectively handle some of the restrictions of existing approaches.
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Cite this article as:
A. Theofilatos Konstantinos, M. Dimitrakopoulos Christos, K. Tsakalidis Athanasios, D. Likothanassis Spyridon, T. Papadimitriou Stergios and P. Mavroudi Seferina, Computational Approaches for the Prediction of Protein-Protein Interactions: A Survey, Current Bioinformatics 2011; 6 (4) . https://dx.doi.org/10.2174/157489311798072981
DOI https://dx.doi.org/10.2174/157489311798072981 |
Print ISSN 1574-8936 |
Publisher Name Bentham Science Publisher |
Online ISSN 2212-392X |
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