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biocarta/nature pathway interaction database  (BioCarta)

 
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    BioCarta biocarta/nature pathway interaction database
    Biocarta/Nature Pathway Interaction Database, supplied by BioCarta, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/pid+database/pathway+interaction+database++pid+/pmc04360671-141-14-15
    Average 90 stars, based on 1 article reviews
    biocarta/nature pathway interaction database - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Generated:

    Article Title: Classification of Colon Cancer Patients Based on the Methylation Patterns of Promoters
    Article Snippet: Pathway results were also sourced from various databases, including Integrating Network Objects with Hierarchies (INOH), Reactome, Kyoto Encyclopedia of Genes and Genomes (KEGG), Pathway Interaction Database (PID) NIC, and PID BioCarta.

    Article Title: Divergent Immune Responses to Mycobacterium avium subsp. paratuberculosis Infection Correlate with Kinome Responses at the Site of Intestinal Infection
    Article Snippet: Of the 13 peptides that were consistently differentially phosphorylated across animals, 4 belong to a pathway called “inactivation of gsk3 by AKT causes accumulation of -catenin” (Pathway Interaction Database [PID] BioCarta 4022).

    Protein-Protein interactions:

    Article Title: Classification of Colon Cancer Patients Based on the Methylation Patterns of Promoters
    Article Snippet: Pathway results were also sourced from various databases, including Integrating Network Objects with Hierarchies (INOH), Reactome, Kyoto Encyclopedia of Genes and Genomes (KEGG), Pathway Interaction Database (PID) NIC, and PID BioCarta.

    Article Title: Divergent Immune Responses to Mycobacterium avium subsp. paratuberculosis Infection Correlate with Kinome Responses at the Site of Intestinal Infection
    Article Snippet: Of the 13 peptides that were consistently differentially phosphorylated across animals, 4 belong to a pathway called “inactivation of gsk3 by AKT causes accumulation of -catenin” (Pathway Interaction Database [PID] BioCarta 4022).



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    Image Search Results


    Makeup of the BioPAX models from three resources (PID, KEGG, ACSN). The BioPAX files of the three resources were parsed in order to identify Physical Entities, Controls ( Catalysis and TemplateReactionRegulation ) and Reactions ( Conversion and TemplateReaction ). For the ACSN resources, Physical Entities were curated in order to reanotate their types when possible. The curation processes focused on compressing duplicate entities and creating controls (with the type catalysis) for reactions where a reactant is also a product.

    Journal: PLoS Computational Biology

    Article Title: Discrete modeling for integration and analysis of large-scale signaling networks

    doi: 10.1371/journal.pcbi.1010175

    Figure Lengend Snippet: Makeup of the BioPAX models from three resources (PID, KEGG, ACSN). The BioPAX files of the three resources were parsed in order to identify Physical Entities, Controls ( Catalysis and TemplateReactionRegulation ) and Reactions ( Conversion and TemplateReaction ). For the ACSN resources, Physical Entities were curated in order to reanotate their types when possible. The curation processes focused on compressing duplicate entities and creating controls (with the type catalysis) for reactions where a reactant is also a product.

    Article Snippet: We performed a systematic content analysis of 2 databases available on Pathway Commons, PID (cell signaling) and KEGG (metabolism and signaling reactions), as well as the ACSN database (Cancer signaling network), which are the largest reaction databases available in the BioPAX format.

    Techniques: Control

    Characteristics of the Cadbiom models obtained after the conversion of BioPAX sources into models with guarded transitions. The Cadbiom models are described by entities, events and transitions. They are compared to the numbers of entities and reactions in the BioPAX models. The boundary entities correspond to the peripherical entities of the model. They are described according to their type and their role in the cadbiom model.

    Journal: PLoS Computational Biology

    Article Title: Discrete modeling for integration and analysis of large-scale signaling networks

    doi: 10.1371/journal.pcbi.1010175

    Figure Lengend Snippet: Characteristics of the Cadbiom models obtained after the conversion of BioPAX sources into models with guarded transitions. The Cadbiom models are described by entities, events and transitions. They are compared to the numbers of entities and reactions in the BioPAX models. The boundary entities correspond to the peripherical entities of the model. They are described according to their type and their role in the cadbiom model.

    Article Snippet: We performed a systematic content analysis of 2 databases available on Pathway Commons, PID (cell signaling) and KEGG (metabolism and signaling reactions), as well as the ACSN database (Cancer signaling network), which are the largest reaction databases available in the BioPAX format.

    Techniques: Control