Reference: Smidtas S, et al. (2006) Model of interactions in biology and application to heterogeneous network in yeast. C R Biol 329(12):945-52

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Abstract


A major challenge for bioinformatics and theoretical biology is to build and analyse a unified model of biological knowledge resulting from high-throughput experiment data. Former work analyzed heterogeneous data (protein-protein interactions, genetic regulation, metabolism, synexpression) by modelling them by graphs. These models are unable to represent the qualitative dynamics of the reactions or to model the n-ary interactions. Here, MIB, the Model of Interactions in Biology, a bipartite model of biological networks, is introduced, and its use for topological analysis of the heterogeneous network is presented. Heterogeneous loops and links between synexpression pattern and underlying molecular mechanisms are proposed. To cite this article: S. Smidtas et al., C. R. Biologies 329 (2006).

Reference Type
Journal Article
Authors
Smidtas S, Yartseva A, Schachter V, Kepes F
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Interaction Annotations


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Interactor Interactor Type Assay Annotation Action Modification Phenotype Source Reference

Gene Ontology Annotations


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Gene Gene Ontology Term Qualifier Aspect Method Evidence Source Assigned On Annotation Extension Reference

Phenotype Annotations


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Gene Phenotype Experiment Type Mutant Information Strain Background Chemical Details Reference

Regulation Annotations


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Regulator Target Experiment Assay Construct Conditions Strain Background Reference