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Fetch ChEMBL Target Data Meta Information

JupyterPythonTopic modelingDatabaseText mining
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Oct 24, 2018 12:10 PM
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This workflow uses a query against a SQL version of the ChEMBL database to retrieve a bunch of information about user-provided targets. It's primarily intended to be used as either a web service (deployed via the KNIME Server) or by calling it from Python (using KNIME's Python integration). In order to execute the workflow successfully, you will need to provide connection information to a database server with ChEMBL_24 installed. The "Retrieve assays, activities, and targets" component contains the nodes where the connection data needs to be entered.

External resources

  • KNIME Python Integration Installation Guide
  • What is ChEMBL?
  • KNIME and Jupyter
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Used extensions & nodes

Created with KNIME Analytics Platform version 4.1.0
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    KNIME CoreTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

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    knime
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    KNIME DatabaseTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

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    knime
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    KNIME JSON-ProcessingTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

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    knime
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    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

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    knime

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