Citations: 203

z-index: 11.28

Basic information
Short name TRANSPATH
Full name a database of mammalian signal transduction and metabolic pathways
Description TRANSPATH® is a database of mammalian signal transduction and metabolic pathways. As one of the earliest pathway databases ever created, it has grown since to the remarkable volume of more than 458,000 manually curated reactions. Its contents can be used for pathway analysis with the geneXplain platform, requiring separate licensing.
Year founded 2005
Last update & version 2018 2018.2
Accessibility Accessible
Contact information

The contact information is provided to facilitate update of database information, and it is curated based on the contact details in the database or the related publications. To ensure effective contact with database constructors, we give priority to the contact details in the database.

University/Institution GeneXplain GmbH
Address Halchtersche Strasse 33, D-38304 Wolfenbüttel, Germany
City Wolfenbüttel
Country/Region Germany
Contact name (PI/Team) Edgar Wingender
Contact email (PI/Helpdesk)
Data information
Data object
Data type
Database category
Major organism
  • Integrating pathway data for systems pathology. [PMID: 17822386]
    Edgar Wingender, Jennifer Hogan, Frank Schacherer, Anatolij P Potapov, Olga Kel-Margoulis

    The HumanPSD database on the complete proteomes of human, mouse and rat has been integrated with the databases TRANSFAC on gene regulation and TRANSPATH on signal transduction to provide a comprehensive systems biological platform for these organisms. As a next step, integration with PathoDB and PathoSign on pathologically relevant mutations is planned together with an extension beyond the limits of the individual cell, towards intercellular networks, by integrating the database EndoNet on hormonal networks as well. The overall aim is to come up with a platform that is suitable to provide knowledge for systems pathology, i. e. a system-wide modeling of pathological states and their development.

    In Silico Biol 2007:7(2 Suppl)

    1 Citations (from Europe PMC, 2019-09-03)

  • TRANSPATH: an information resource for storing and visualizing signaling pathways and their pathological aberrations. [PMID: 16381929]
    Mathias Krull, Susanne Pistor, Nico Voss, Alexander Kel, Ingmar Reuter, Deborah Kronenberg, Holger Michael, Knut Schwarzer, Anatolij Potapov, Claudia Choi, Olga Kel-Margoulis, Edgar Wingender

    TRANSPATH is a database about signal transduction events. It provides information about signaling molecules, their reactions and the pathways these reactions constitute. The representation of signaling molecules is organized in a number of orthogonal hierarchies reflecting the classification of the molecules, their species-specific or generic features, and their post-translational modifications. Reactions are similarly hierarchically organized in a three-layer architecture, differentiating between reactions that are evidenced by individual publications, generalizations of these reactions to construct species-independent 'reference pathways' and the 'semantic projections' of these pathways. A number of search and browse options allow easy access to the database contents, which can be visualized with the tool PathwayBuildertrade mark. The module PathoSign adds data about pathologically relevant mutations in signaling components, including their genotypes and phenotypes. TRANSPATH and PathoSign can be used as encyclopaedia, in the educational process, for vizualization and modeling of signal transduction networks and for the analysis of gene expression data. TRANSPATH Public 6.0 is freely accessible for users from non-profit organizations under

    Nucleic Acids Res 2006:34(Database issue)

    65 Citations (from Europe PMC, 2019-09-03)

  • Beyond microarrays: find key transcription factors controlling signal transduction pathways. [PMID: 17118134]
    Alexdander Kel, Nico Voss, Ruy Jauregui, Olga Kel-Margoulis, Edgar Wingender

    Massive gene expression changes in different cellular states measured by microarrays, in fact, reflect just an "echo" of real molecular processes in the cells. Transcription factors constitute a class of the regulatory molecules that typically require posttranscriptional modifications or ligand binding in order to exert their function. Therefore, such important functional changes of transcription factors are not directly visible in the microarray experiments. We developed a novel approach to find key transcription factors that may explain concerted expression changes of specific components of the signal transduction network. The approach aims at revealing evidence of positive feedback loops in the signal transduction circuits through activation of pathway-specific transcription factors. We demonstrate that promoters of genes encoding components of many known signal transduction pathways are enriched by binding sites of those transcription factors that are endpoints of the considered pathways. Application of the approach to the microarray gene expression data on TNF-alpha stimulated primary human endothelial cells helped to reveal novel key transcription factors potentially involved in the regulation of the signal transduction pathways of the cells. We developed a novel computational approach for revealing key transcription factors by knowledge-based analysis of gene expression data with the help of databases on gene regulatory networks (TRANSFAC and TRANSPATH. The corresponding software and databases are available at

    BMC Bioinformatics 2006:7 Suppl 2()

    38 Citations (from Europe PMC, 2019-09-03)

  • TRANSPATH--a high quality database focused on signal transduction. [PMID: 18629064]
    Claudia Choi, Mathias Krull, Alexander Kel, Olga Kel-Margoulis, Susanne Pistor, Anatolij Potapov, Nico Voss, Edgar Wingender

    TRANSPATH can either be used as an encyclopedia, for both specific and general information on signal transduction, or can serve as a network analyser. Therefore, three modules have been created: the first one is the data, which have been manually extracted, mostly from the primary literature; the second is PathwayBuilder, which provides several different types of network visualization and hence faciliates understanding; the third is ArrayAnalyzer, which is particularly suited to gene expression array interpretation, and is able to identify key molecules within signalling networks (potential drug targets). These key molecules could be responsible for the coordinated regulation of downstream events. Manual data extraction focuses on direct reactions between signalling molecules and the experimental evidence for them, including species of genes/proteins used in individual experiments, experimental systems, materials and methods. This combination of materials and methods is used in TRANSPATH to assign a quality value to each experimentally proven reaction, which reflects the probability that this reaction would happen under physiological conditions. Another important feature in TRANSPATH is the inclusion of transcription factor-gene relations, which are transferred from TRANSFAC, a database focused on transcription regulation and transcription factors. Since interactions between molecules are mainly direct, this allows a complete and stepwise pathway reconstruction from ligands to regulated genes. More information is available at

    Comp Funct Genomics 2004:5(2)

    18 Citations (from Europe PMC, 2019-09-03)

  • Consistent re-modeling of signaling pathways and its implementation in the TRANSPATH database. [PMID: 15706510]
    Claudia Choi, Torsten Crass, Alexander Kel, Olga Kel-Margoulis, Mathias Krull, Susanne Pistor, Anatolij Potapov, Nico Voss, Edgar Wingender

    The data model of the signaling pathways database TRANSPATH has been re-engineered to a three-layer model comprising experimental evidences and summarized pathway information, both in a mechanistically detailed manner, and a "semantic" projection for the abstract overview. Each molecule is described in the context of a certain reaction in the multidimensional space of posttranslational modification, molecular family relationships, and the biological species of its origin. The new model makes the data better suitable for reconstructing signaling pathways and networks and mapping expression data, for instance from microarray experiments, onto regulatory networks.

    Genome Inform 2004:15(2)

    8 Citations (from Europe PMC, 2019-09-03)

  • TRANSPATH: an integrated database on signal transduction and a tool for array analysis. [PMID: 12519957]
    Mathias Krull, Nico Voss, Claudia Choi, Susanne Pistor, Anatolij Potapov, Edgar Wingender

    TRANSPATH is a database system about gene regulatory networks that combines encyclopedic information on signal transduction with tools for visualization and analysis. The integration with TRANSFAC, a database about transcription factors and their DNA binding sites, provides the possibility to obtain complete signaling pathways from ligand to target genes and their products, which may themselves be involved in regulatory action. As of July 2002, the TRANSPATH Professional release 3.2 contains about 9800 molecules, >1800 genes and >11 400 reactions collected from approximately 5000 references. With the ArrayAnalyzer, an integrated tool has been developed for evaluation of microarray data. It uses the TRANSPATH data set to identify key regulators in pathways connected with up- or down-regulated genes of the respective array. The key molecules and their surrounding networks can be viewed with the PathwayBuilder, a tool that offers four different modes of visualization. More information on TRANSPATH is available at

    Nucleic Acids Res 2003:31(1)

    44 Citations (from Europe PMC, 2019-09-03)

  • The TRANSPATH signal transduction database: a knowledge base on signal transduction networks. [PMID: 11724734]
    F Schacherer, C Choi, U Götze, M Krull, S Pistor, E Wingender

    TRANSPATH is an information system on gene-regulatory pathways, and an extension module to the TRANSFAC database system (Wingender et al., Nucleic Acids Res., 28, 316-319, 2000). It focuses on pathways involved in the regulation of transcription factors in different species, mainly human, mouse and rat. Elements of the relevant signal transduction pathways like complexes, signaling molecules, and their states are stored together with information about their interaction in an object-oriented database. The database interface provides clickable maps and automatically generated pathway cascades as additional ways to explore the data. All information is validated with references to the original publications. Also, references to other databases are provided (TRANSFAC, SWISS-PROT, EMBL, PubMed and others). The database is available over ( for interactive perusal. As an exchange format for the data, eXtensible Markup Language (XML) flatfiles and a Document Type Definition (DTD) are provided.

    Bioinformatics 2001:17(11)

    29 Citations (from Europe PMC, 2019-09-03)


  • Ranking in all databases: No. 621
  • Ranking in category/categories:
    • Pathway: No. 26
The box plots depict Z-index distribution for all databases in Database Commons and for specific database category/categories. The red line indicates log2(Z-index) of TRANSPATH.

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Record metadata

  • Created on: 2015-09-09
    • ***ina@*** [2019-08-01]
    • ***d@*** [2019-03-05]
    • ***ina@*** [2018-06-06]
    • ***ggy@*** [2015-12-06]

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