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» Statistical analysis of domains in interacting protein pairs
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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...
BICOB
2009
Springer
13 years 11 months ago
Constrained Fisher Scores Derived from Interaction Profile Hidden Markov Models Improve Protein to Protein Interaction Predictio
Protein-protein interaction plays critical roles in cellular functions. In this work, we propose a computational method to predict protein-protein interaction by using support vec...
Alvaro J. González, Li Liao
BMCBI
2006
94views more  BMCBI 2006»
13 years 7 months ago
Fly-DPI: database of protein interactomes for D. melanogaster in the approach of systems biology
Background: Proteins control and mediate many biological activities of cells by interacting with other protein partners. This work presents a statistical model to predict protein ...
Chung-Yen Lin, Shu-Hwa Chen, Chi-Shiang Cho, Chia-...
BMCBI
2005
119views more  BMCBI 2005»
13 years 7 months ago
A protein domain interaction interface database: InterPare
Background: Most proteins function by interacting with other molecules. Their interaction interfaces are highly conserved throughout evolution to avoid undesirable interactions th...
Sungsam Gong, Changbum Park, Hansol Choi, Junsu Ko...
BMCBI
2006
134views more  BMCBI 2006»
13 years 7 months ago
A statistical score for assessing the quality of multiple sequence alignments
Background: Multiple sequence alignment is the foundation of many important applications in bioinformatics that aim at detecting functionally important regions, predicting protein...
Virpi Ahola, Tero Aittokallio, Mauno Vihinen, Esa ...