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  • 03_Fetch_ChEMBL_Target_Data
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Fetch ChEMBL Target Data Meta Information

Jupyter Python topic modeling database text mining +1

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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 and Jupyter
  • What is ChEMBL?
  • KNIME Python Integration Installation Guide

Used extensions & nodes

Created with KNIME Analytics Platform version 4.1.0
  • KNIME Core Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Database Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME JSON-Processing Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

Legal

By downloading the workflow, you agree to our terms and conditions.

License (CC-BY-4.0)
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