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BMCBI
2010
176views more  BMCBI 2010»
13 years 7 months ago
Bayesian statistical modelling of human protein interaction network incorporating protein disorder information
Background: We present a statistical method of analysis of biological networks based on the exponential random graph model, namely p2-model, as opposed to previous descriptive app...
Svetlana Bulashevska, Alla Bulashevska, Roland Eil...
BIOINFORMATICS
2007
117views more  BIOINFORMATICS 2007»
13 years 7 months ago
Mining biological networks for unknown pathways
Biological pathways provide significant insights on the interaction mechanisms of molecules. Presently, many essential pathways still remain unknown or incomplete for newly sequen...
Ali Cakmak, Gultekin Özsoyoglu
BMCBI
2010
143views more  BMCBI 2010»
13 years 7 months ago
An efficient biological pathway layout algorithm combining grid-layout and spring embedder for complicated cellular location inf
Background: Graph drawing is one of the important techniques for understanding biological regulations in a cell or among cells at the pathway level. Among many available layout al...
Kaname Kojima, Masao Nagasaki, Satoru Miyano
BMCBI
2010
98views more  BMCBI 2010»
13 years 7 months ago
An optimized TOPS+ comparison method for enhanced TOPS models
nd: Although methods based on highly abstract descriptions of protein structures, such as VAST and TOPS, can perform very fast protein structure comparison, the results can lack a...
Mallika Veeramalai, David Gilbert, Gabriel Valient...
BMCBI
2010
110views more  BMCBI 2010»
13 years 7 months ago
Towards the systematic discovery of signal transduction networks using phosphorylation dynamics data
Background: Phosphorylation is a ubiquitous and fundamental regulatory mechanism that controls signal transduction in living cells. The number of identified phosphoproteins and th...
Haruna Imamura, Nozomu Yachie, Rintaro Saito, Yasu...