Paper Info
Title
Genome-scale analysis of interaction dynamics reveals organization of biological networks.
Abstract
Analyzing large-scale interaction networks has generated numerous insights in systems biology. However, such studies have primarily been focused on highly co-expressed, stable interactions. Most transient interactions that carry out equally important functions, especially in signal transduction pathways, are yet to be elucidated and are often wrongly discarded as false positives. Here, we revisit a previously described Smith-Waterman-like dynamic programming algorithm and use it to distinguish stable and transient interactions on a genomic scale in human and yeast. We find that in biological networks, transient interactions are key links topologically connecting tightly regulated functional modules formed by stable interactions and are essential to maintaining the integrity of cellular networks. We also perform a systematic analysis of interaction dynamics across different technologies and find that high-throughput yeast two-hybrid is the only available technology for detecting transient interactions on a large scale.
Year
DOI
Venue
2012
10.1093/bioinformatics/bts283
Bioinformatics
Keywords
Field
DocType
transient interaction,large scale,genome-scale analysis,bioinformatics online,genomic scale,interaction dynamic,large-scale interaction network,high-throughput yeast two-hybrid,biological network,stable interaction,supplementary information,available technology,signal transduction,algorithms,computational biology,genomics,systems biology
Scale analysis (statistics),Genome,Dynamic programming,Computer science,Biological network,Systems biology,Genomics,Bioinformatics
Journal
Volume
Issue
ISSN
28
14
1367-4811
Citations 
PageRank 
References 
21
1.54
8
Authors
3
Name
Order
Citations
PageRank
Jishnu Das1813.83
Jaaved Mohammed2493.40
Haiyuan Yu337124.42