Predicting functional protein-protein interactions based on computational methods

Authors:
Luwen Zhang;Wu Zhang
Affiliations:
School of Computer Science and Technology, Shanghai University, Shanghai, China;School of Computer Science and Technology, Shanghai University, Shanghai, China
Venue:
LSMS'07 Proceedings of the 2007 international conference on Life System Modeling and Simulation
Year:
2007

Citing 7
Cited 0

Domain Combination Based Protein-Protein Interaction Possibility Ranking Method

BIBE '04 Proceedings of the 4th IEEE Symposium on Bioinformatics and Bioengineering
Prediction of Protein-Protein Interactions Using Support Vector Machines

BIBE '04 Proceedings of the 4th IEEE Symposium on Bioinformatics and Bioengineering
Essential Latent Knowledge for Protein-Protein Interactions: Analysis by an Unsupervised Learning Approach

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
A Protein Interaction Verification System Based on a Neural Network Algorithm

CSBW '05 Proceedings of the 2005 IEEE Computational Systems Bioinformatics Conference - Workshops
Computational Approaches for Predicting Protein---Protein Interactions: A Survey

Journal of Medical Systems
Prediction of protein--protein interactions using random decision forest framework

Bioinformatics
Predicting Protein-Protein Interactions from Protein Domains Using a Set Cover Approach

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

Quantified Score

Hi-index	0.00

Visualization

Abstract

Protein-protein interactions play a crucial role in the cellular process. In recent years, yet new experimental techniques have been developed to discover the protein-protein interaction networks, the accuracy and coverage has still proven to be limited. Computational approaches come into being essential both to assist in the design and validation of experimental studies and for the prediction of interacted proteins. This paper presents a survey of the major computational methods for detecting protein-protein interactions, and expatiates on their key contribution by introducing the experimental methods, the typical computational methods and the improvement over them in turn.