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Can I read Structural Interpretation of Protein-protein Interaction Network on EtoBox?

Structural Interpretation of Protein-protein Interaction Network by Ataur R Katebi; Andrzej Kloczkowski; Robert L Jernigan is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is Structural Interpretation of Protein-protein Interaction Network about?

Background: Currently a huge amount of protein-protein interaction data is available from high throughput experimental methods. In a large network of protein-protein interactions, groups of proteins can be identified as functional clusters having related functions where a single protein can occur in multiple clusters. However experimental methods are error-prone and thus the interactions in a functional cluster may include false positives or there may be unreported interactions. Therefore correctly identifying a functional cluster of proteins requires the knowledge of whether any two proteins in a cluster interact, whether an interaction can exclude other interactions, or how strong the affinity between two interacting proteins is. Methods: In the present work the yeast protein-protein interaction network is clustered using a spectral clustering method proposed by us in 2006 and the individual clusters are investigated for functional relationships among the member proteins. 3D structural models of the proteins in one cluster have been builtthe protein structures are retrieved from the Protein Data Bank or predicted using a comparative modeling approach. A rigid body protein docking

Who reads Structural Interpretation of Protein-protein Interaction Network?

It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.

Author
Ataur R Katebi; Andrzej Kloczkowski; Robert L Jernigan
Publisher
BioMed Central; Springer (Biomed Central Ltd.); London: BioMed Central, 2001-; Springer Science and Business Media LLC (ISSN 1472-6807)
Published
2010
Language
EN
Field
Biochemistry, Genetics and Molecular Biology (Life Sciences)

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