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. 2013 Aug 22:14:257.
doi: 10.1186/1471-2105-14-257.

KNIME-CDK: Workflow-driven cheminformatics

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KNIME-CDK: Workflow-driven cheminformatics

Stephan Beisken et al. BMC Bioinformatics. .

Abstract

Background: Cheminformaticians have to routinely process and analyse libraries of small molecules. Among other things, that includes the standardization of molecules, calculation of various descriptors, visualisation of molecular structures, and downstream analysis. For this purpose, scientific workflow platforms such as the Konstanz Information Miner can be used if provided with the right plug-in. A workflow-based cheminformatics tool provides the advantage of ease-of-use and interoperability between complementary cheminformatics packages within the same framework, hence facilitating the analysis process.

Results: KNIME-CDK comprises functions for molecule conversion to/from common formats, generation of signatures, fingerprints, and molecular properties. It is based on the Chemistry Development Toolkit and uses the Chemical Markup Language for persistence. A comparison with the cheminformatics plug-in RDKit shows that KNIME-CDK supports a similar range of chemical classes and adds new functionality to the framework. We describe the design and integration of the plug-in, and demonstrate the usage of the nodes on ChEBI, a library of small molecules of biological interest.

Conclusions: KNIME-CDK is an open-source plug-in for the Konstanz Information Miner, a free workflow platform. KNIME-CDK is build on top of the open-source Chemistry Development Toolkit and allows for efficient cross-vendor structural cheminformatics. Its ease-of-use and modularity enables researchers to automate routine tasks and data analysis, bringing complimentary cheminformatics functionality to the workflow environment.

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Figures

Figure 1
Figure 1
Example workflow and out-port views. Overview of the KNIME-CDK plug-in. a) View of the node repository showing all available nodes. b) Example workflow for descriptor calculation. The molecule library is read in and filtered for structures containing phenol groups before counting the number of hydrogen donors and acceptors (lower path). Simultaneously, MACCS fingerprints and atom signatures are calculated for the atom-filtered molecules (upper path). c) Example row from the out-port view of the Atom Signatures node.

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