Can I read A Computational Analysis of Protein Interactions in Metabolic Networks Reveals Novel Enzyme Pairs Potentially Involved in Metabolic Channeling on EtoBox?

A Computational Analysis of Protein Interactions in Metabolic Networks Reveals Novel Enzyme Pairs Potentially Involved in Metabolic Channeling by Carola Huthmacher; Christoph Gille; Hermann-Georg Holzhütter is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is A Computational Analysis of Protein Interactions in Metabolic Networks Reveals Novel Enzyme Pairs Potentially Involved in Metabolic Channeling about?

Protein-protein interactions are operative at almost every level of cell structure and function as, for example, formation of sub-cellular organelles, packaging of chromatin, muscle contraction, signal transduction, and regulation of gene expression. Public databases of reported protein-protein interactions comprise hundreds of thousands interactions, and this number is steadily growing. Elucidating the implications of protein-protein interactions for the regulation of the underlying cellular or extra-cellular reaction network remains a great challenge for computational biochemistry. In this work, we have undertaken a systematic and comprehensive computational analysis of reported enzyme-enzyme interactions in the metabolic networks of the model organisms Escherichia coli and Saccharomyces cerevisiae. We grouped all enzyme pairs according to the topological distance that the catalyzed reactions have in the metabolic network and performed a statistical analysis of reported enzyme-enzyme interactions within these groups. We found a higher frequency of reported enzyme-enzyme interactions within the group of enzymes catalyzing reactions that are adjacent in the network, i.e. sharing at

Who reads A Computational Analysis of Protein Interactions in Metabolic Networks Reveals Novel Enzyme Pairs Potentially Involved in Metabolic Channeling?

Author

Carola Huthmacher; Christoph Gille; Hermann-Georg Holzhütter

Publisher

Elsevier Science; Elsevier ; Elsevier Inc.; Elsevier BV (ISSN 0022-5193)

Published

2008

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)