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" wrapped metanode contains the nodes where the connection data needs to be entered.
BLOG: KNIME and Jupyter https://www.knime.com/blog/knime-and-jupyter
TAGS: Jupyter, Python, topic modeling, database, text mining, ChEMBL
EXAMPLES Server: 07_Scripting/03_Python/03_Fetch_ChEMBL_Target_Data07_Scripting/03_Python/03_Fetch_ChEMBL_Target_Data*
Download a zip-archive
* Find more about the Examples Server here.
The link will open the workflow directly in KNIME Analytics Platform (requirements: Windows; KNIME Analytics Platform must be installed with the Installer version 3.2.0 or higher). In other cases, please use the link to a zip-archive or open the provided path manually