Paper Info
Title
Protein-Protein Interaction Prediction Using Homology and Inter-domain Linker Region Information
Abstract
One of the central problems in modern biology is to identify the complete set of interactions among proteins in a cell. The structural interaction of proteins and their domains in networks is one of the most basic molecular mechanisms for biological cells. Structural evidence indicates that, interacting pairs of close homologs usually interact in the same way. In this chapter, we make use of both homology and inter-domain linker region knowledge to predict interaction between protein pairs solely by amino acid sequence information. High quality core set of 150 yeast proteins obtained from the Database of Interacting Proteins (DIP) was considered to test the accuracy of the proposed method. The strongest prediction of the method reached over 70% accuracy. These results show great potential for the proposed method.
Year
DOI
Venue
2008
10.1007/978-90-481-2311-7_54
World Congress on Engineering (Selected Papers)
Keywords
Field
DocType
protein-protein interactionpredictionhomologyinter-domain linker regionyeast protein,molecular mechanics,amino acid sequence,protein protein interaction
Inter-domain,Protein–protein interaction prediction,Protein structure prediction,Mathematical optimization,Protein–protein interaction,Homology (biology),Linker,Engineering,Bioinformatics,Computational biology,Homology modeling
Conference
Citations 
PageRank 
References 
7
0.50
17
Authors
1
Name
Order
Citations
PageRank
Nazar Zaki113914.31