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Indigo-pains (2)

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If you like this workflow, please reference our paper doi:10.1002/minf.201100076, and check the related workflows Indigo-pains-recursive, and RDKit-pains.*** Update 20151130 - using KNIME 3 nodes and the 'RDKit' version of PAINS queries ***Implementation of the PAINS filters[1] using the Indigo (1.1.1300.201511201230) nodes in KNIME (3.0.1). Original PAINS filters were published in SLN format. his workflow contains the SMARTS form of the filters published by Greg Landrum as part of th...

Created: 2011-06-07 | Last updated: 2015-12-01

Credits: sauberns

Attributions: RDKit-pains

Indigo-pains-recursive (2)

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*** Update 20151130 - using KNIME 3 nodes and the 'RDKit' version of PAINS queries ***The old Indigo library (1.1.13) could not take advantage of the parallelizing nodes in KNIME the way the RDKit library could. One way to speed up the PAINS workflow when using the Indigo library was to use a recursive loop that constantly shrank the list of structures being presented to the next PAINS query as structures were knocked out of the main list.Using the WEHI-10k reference set (embedded in ...

Created: 2013-08-13 | Last updated: 2015-12-01

Credits: sauberns

Attributions: Indigo-pains RDKit-pains-parallel

SAR by Rgroup decomposition (1)

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This workflow showcases a simple way to use Rgroup decomposition for SAR analysis.Once R-groups are obtained for several sites on the Scaffold, molecular properties like logP, TPSA, number of heavy/hetero-atoms, various kinds of ring counts are calculated.While medicinal chemistry purists may decry calculating properties for fragments/R-groups, correlating these at each site with Ki (or activity) shows up interesting trends.It's immediately apparent if increasing logP at a given site incr...

Created: 2015-09-15

Credits: Insilicoconsulting