Hub
Pricing About
WorkflowWorkflow

03_Clustering

ChemistryHierarchical ClusteringBit Vector DistancesMolecule DescriptorsInteractive Selection
+2
catherineoleary profile image
Draft Latest edits on 
May 19, 2020 6:27 AM
Drag & drop
Like
Download workflow
Workflow preview
This exercise shows how to perform hierarchical clustering using molecule fingerprints and create an interactive view to pick interesting clusters. Chemical structures were extracted from this publication: https://doi.org/10.1021/acs.jmedchem.9b01658​
Loading deploymentsLoading ad hoc jobs

Used extensions & nodes

Created with KNIME Analytics Platform version 4.5.2
  • Go to item
    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Versions 4.5.1, 4.5.2

    knime
  • Go to item
    KNIME Distance MatrixTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.1

    knime
  • Go to item
    KNIME JavaScript ViewsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.2

    knime
  • Go to item
    KNIME JavaScript Views (Labs)Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime
  • Go to item
    KNIME SVG SupportTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime
  • Go to item
    RDKit Nodes FeatureTrusted extension

    NIBR

    Version 4.5.0

    manuelschwarze

Legal

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

KNIME
Open for Innovation

KNIME AG
Talacker 50
8001 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • Courses + Certification
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more about KNIME Business Hub
© 2025 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Data Processing Agreement
  • Credits