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Database of Interacting Proteins (DIP)

Known as: DIP, Database of interacting proteins 
The Database of Interacting Proteins (DIP) is a biological database which catalogs experimentally determined interactions between proteins. It… 
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Related topics

Related topics

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BioGRIDConsensusPathDBList of biological databasesProteomics Standards Initiative

Papers overview

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2012
2012
Prediction of E.coli Protein-Protein Interaction Sites Using Inter-Residue Distances and High-Quality-Index Features
We propose computational method for identification of protein-protein interaction sites using sequence and structure information… 
2008
2008
Data Pre-Processing Methodology for Computational Experiment in Analyzing Protein Interaction Networks
This paper describes a process flow of data pre-processing for computational experiment in analyzing protein interaction networks… 
2007
2007
BioNoculars: Extracting Protein-Protein Interactions from Biomedical Text
The vast number of published medical documents is considered a vital source for relationship discovery. This paper presents a… 
2007
2007
BIRD: Biomedical Information Integration and Discovery with Semantic Web Services
Biomedical research is now information intensive; the volume and diversity of new data sources challenges current database… 
2005
2005
Predicting gene function by combining expression and interaction data
In this study we combined the spurious protein interaction data from the Database of Interacting Proteins with the recently… 
2005
2005
Signal processing in biological cells : proteins, networks, and models
Thesis Supervisor: Alan V. Oppenheim Title: Ford Professor of Engineering Thesis Supervisor: Douglas A. Lauffenbuger Title… 
2005
2005
Predict Protein-Protein Interaction using Heuristic Approaches
Proteins interact with each other for a common purpose such as cell formation. They come in contact with each other following the… 
2004
2004
Using Sequence Homology to Filter High-throughput Protein-protein Interaction Data
Protein-protein interaction data obtained from high-throughput experiments is thought to have a large number of false positives i… 
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