PMID:19798435: Difference between revisions

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<span style = 'font-size: large'> '''Peregrín-Alvarez, JM, Xiong, X, Su, C and Parkinson, J'''  (2009) The Modular Organization of Protein Interactions in Escherichia coli.''PLoS Comput. Biol.'' '''5''':e1000523</span>
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|{{TableHeadingColor}} |'''Abstract''' || <protect>Escherichia coli serves as an excellent model for the study of fundamental cellular processes such as metabolism, signalling and gene expression. Understanding the function and organization of proteins within these processes is an important step towards a 'systems' view of E. coli. Integrating experimental and computational interaction data, we present a reliable network of 3,989 functional interactions between 1,941 E. coli proteins ( approximately 45% of its proteome). These were combined with a recently generated set of 3,888 high-quality physical interactions between 918 proteins and clustered to reveal 316 discrete modules. In addition to known protein complexes (e.g., RNA and DNA polymerases), we identified modules that represent biochemical pathways (e.g., nitrate regulation and cell wall biosynthesis) as well as batteries of functionally and evolutionarily related processes. To aid the interpretation of modular relationships, several case examples are presented, including both well characterized and novel biochemical systems. Together these data provide a global view of the modular organization of the E. coli proteome and yield unique insights into structural and evolutionary relationships in bacterial networks.</protect>
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'''No author listed''' (2009) The Modular Organization of Protein Interactions in Escherichia coli. ''PLoS Comput. Biol.'' '''5''':e1000523
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|{{TableHeadingColor}} nowrap |'''Links''' || [http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=19798435 PubMed]<br/>Online version:[http://dx.doi.org/10.1371/journal.pcbi.1000523 10.1371/journal.pcbi.1000523]
!align=left  |Abstract
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Escherichia coli serves as an excellent model for the study of fundamental cellular processes such as metabolism, signalling and gene expression. Understanding the function and organization of proteins within these processes is an important step towards a 'systems' view of E. coli. Integrating experimental and computational interaction data, we present a reliable network of 3,989 functional interactions between 1,941 E. coli proteins ( approximately 45% of its proteome). These were combined with a recently generated set of 3,888 high-quality physical interactions between 918 proteins and clustered to reveal 316 discrete modules. In addition to known protein complexes (e.g., RNA and DNA polymerases), we identified modules that represent biochemical pathways (e.g., nitrate regulation and cell wall biosynthesis) as well as batteries of functionally and evolutionarily related processes. To aid the interpretation of modular relationships, several case examples are presented, including both well characterized and novel biochemical systems. Together these data provide a global view of the modular organization of the E. coli proteome and yield unique insights into structural and evolutionary relationships in bacterial networks.
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[http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=19798435 PubMed] [http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2739439 PMC2739439]
Online version:[http://dx.doi.org/10.1371/journal.pcbi.1000523 10.1371/journal.pcbi.1000523]
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!align=left  |Keywords
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Computer Simulation; Escherichia coli/metabolism; Escherichia coli Proteins/metabolism; Models, Biological; Multienzyme Complexes/metabolism; Protein Interaction Mapping/methods; Signal Transduction/physiology
 
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==Significance {{HelpIcon|Help:Literature}} ==
==Significance {{HelpIcon|Help:Literature}} ==
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Revision as of 19:07, 1 September 2013

Citation

No author listed (2009) The Modular Organization of Protein Interactions in Escherichia coli. PLoS Comput. Biol. 5:e1000523

Abstract

Escherichia coli serves as an excellent model for the study of fundamental cellular processes such as metabolism, signalling and gene expression. Understanding the function and organization of proteins within these processes is an important step towards a 'systems' view of E. coli. Integrating experimental and computational interaction data, we present a reliable network of 3,989 functional interactions between 1,941 E. coli proteins ( approximately 45% of its proteome). These were combined with a recently generated set of 3,888 high-quality physical interactions between 918 proteins and clustered to reveal 316 discrete modules. In addition to known protein complexes (e.g., RNA and DNA polymerases), we identified modules that represent biochemical pathways (e.g., nitrate regulation and cell wall biosynthesis) as well as batteries of functionally and evolutionarily related processes. To aid the interpretation of modular relationships, several case examples are presented, including both well characterized and novel biochemical systems. Together these data provide a global view of the modular organization of the E. coli proteome and yield unique insights into structural and evolutionary relationships in bacterial networks.

Links

PubMed PMC2739439 Online version:10.1371/journal.pcbi.1000523

Keywords

Computer Simulation; Escherichia coli/metabolism; Escherichia coli Proteins/metabolism; Models, Biological; Multienzyme Complexes/metabolism; Protein Interaction Mapping/methods; Signal Transduction/physiology

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