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Database (Oxford)
2011 May 17;2011:bar052. doi: 10.1093/database/bar052.
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INOH: ontology-based highly structured database of signal transduction pathways.
Yamamoto S
,
Sakai N
,
Nakamura H
,
Fukagawa H
,
Fukuda K
,
Takagi T
.
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The Integrating Network Objects with Hierarchies (INOH) database is a highly structured, manually curated database of signal transduction pathways including Mammalia, Xenopus laevis, Drosophila melanogaster, Caenorhabditis elegans and canonical. Since most pathway knowledge resides in scientific articles, the database focuses on curating and encoding textual knowledge into a machine-processable form. We use a hierarchical pathway representation model with a compound graph, and every pathway component in the INOH database is annotated by a set of uniquely developed ontologies. Finally, we developed the Similarity Search using the combination of a compound graph and hierarchical ontologies. The INOH database is to be a good resource for many users who want to analyze a large protein network. INOH ontologies and 73 signal transduction and 29 metabolic pathway diagrams (including over 6155 interactions and 3395 protein entities) are freely available in INOH XML and BioPAX formats. Database URL: http://www.inoh.org/
Figure 1. INOH data model. Boxes represent class objects (nodes and edges) and their attribute(s), and arrows show inheritance relationships. Multiple values are allowed at underlined attributes. Asterisks indicate that the value for the attribute is filled from INOH ontology terms.
Figure 2. INOH pathway. Each blue window represents event of different granularity, and green window represents molecular complex. Light blue hexagons are Process nodes that show molecular interactions, and green hexagon is EventRelation node that shows positive/negative indirect relation between events.
Figure 3. Screenshot of Ontology Viewer. (A) Example of search result. (B) Attribute and ontology hierarchy view. (C) Example of INOH pathway data accessed through INOH Ontology Viewer.
Figure 4. Screenshot of INOH Client. Window consists of five areas; tool panel (Objects and Properties panels), diagram editing area, over view area, magnified view area and external DB links area. User can search and download pathways, and pathways can be then modified and saved. When switching from normal view to reduced view in toolbar, picture focusing on molecular transition is displayed in diagram editing area.
Figure 5. Previous/following event search. BMP2 signaling does âcross-talkâ with Wnt and LIF signaling. (A) Search following events of âNuclear import of Smad1:Smad4â in BMP2 signaling. The curated following events are connected to the event by the PASSING edges. (B) List of following events and its diagram. (C) Wnt and LIF signaling is pasted on same canvas. The inferred following events are connected by the PseudoPASSING edges.
Figure 6. Homologous search in Wnt signaling. (A) Search homologous events of âBinding of Wnt, Frizzled and Arrow/LRP5/6 (Canonical)â in Wnt signaling. (B) List of homologous events and its diagrams. (C) Homologous events in C.elegans, D.melanogaster, X.laevis and Mammalia can be pasted on same canvas for comparison.
Figure 7. Similarity Search of FGF signaling (C.elegans). (A) The ligand-receptor binding in FGF signaling (C.elegans). (B) Result screen of similarity search. (C) The hierarchical tree of âFGFâ molecule in MoleculeRole ontology and some signaling pathways similar to FGF signaling (C.elegans). Green/orange edges represent correspondence relation to MoleculeRole ontology.
Figure 8. Similarity Search on all INOH pathways using large proteinâprotein network query. (A) Proteinâprotein network related to acute allergic diseases displayed in Cytoscape. (B) Results of similarity search on INOH pathways using network as query. (C) Example of INOH pathways that have similar molecules and interactions in proteinâprotein network dataset. Similar molecules and interactions are highlighted with same colors in (A) and (C). These results can be found here. http://www.inoh.org/similarity-search/project.php?session=1πd=526.
Ashburner,
Gene ontology: tool for the unification of biology. The Gene Ontology Consortium.
2000, Pubmed
Ashburner,
Gene ontology: tool for the unification of biology. The Gene Ontology Consortium.
2000,
Pubmed
Bader,
Pathguide: a pathway resource list.
2006,
Pubmed
Côté,
The Ontology Lookup Service, a lightweight cross-platform tool for controlled vocabulary queries.
2006,
Pubmed
Day-Richter,
OBO-Edit--an ontology editor for biologists.
2007,
Pubmed
Demir,
An ontology for collaborative construction and analysis of cellular pathways.
2004,
Pubmed
Demir,
The BioPAX community standard for pathway data sharing.
2010,
Pubmed
Eilbeck,
The Sequence Ontology: a tool for the unification of genome annotations.
2005,
Pubmed
Fukuda,
Knowledge representation of signal transduction pathways.
2001,
Pubmed
Gough,
Science's signal transduction knowledge environment: the connections maps database.
2002,
Pubmed
Hucka,
The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models.
2003,
Pubmed
Kamburov,
ConsensusPathDB: toward a more complete picture of cell biology.
2011,
Pubmed
Kandasamy,
NetPath: a public resource of curated signal transduction pathways.
2010,
Pubmed
Kanehisa,
KEGG for representation and analysis of molecular networks involving diseases and drugs.
2010,
Pubmed
Kerrien,
Broadening the horizon--level 2.5 of the HUPO-PSI format for molecular interactions.
2007,
Pubmed
Kushida,
Event ontology: a pathway-centric ontology for biological processes.
2006,
Pubmed
Natale,
Framework for a protein ontology.
2007,
Pubmed
Noy,
BioPortal: ontologies and integrated data resources at the click of a mouse.
2009,
Pubmed
Pico,
WikiPathways: pathway editing for the people.
2008,
Pubmed
Renkonen,
A network analysis of the single nucleotide polymorphisms in acute allergic diseases.
2010,
Pubmed
Schaefer,
PID: the Pathway Interaction Database.
2009,
Pubmed
Scheer,
BRENDA, the enzyme information system in 2011.
2011,
Pubmed
Shannon,
Cytoscape: a software environment for integrated models of biomolecular interaction networks.
2003,
Pubmed
Smith,
The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration.
2007,
Pubmed
,
Xenbase
Thomas,
PANTHER: a browsable database of gene products organized by biological function, using curated protein family and subfamily classification.
2003,
Pubmed
Tsesmetzis,
Arabidopsis reactome: a foundation knowledgebase for plant systems biology.
2008,
Pubmed
UniProt Consortium,
Ongoing and future developments at the Universal Protein Resource.
2011,
Pubmed
Vastrik,
Reactome: a knowledge base of biologic pathways and processes.
2007,
Pubmed
Yamamoto,
The molecule role ontology: an ontology for annotation of signal transduction pathway molecules in the scientific literature.
2004,
Pubmed