KNIME CDK Integration version 1.5.700.v201711101057 by KNIME GmbH, Konstanz and EMBL-EBI, Cambridge
This node implements a fast descriptor based 3D similarity measure described by Ballester et al ([Bellester, P.J. and Richards, W.G. , Ultrafast shape recognition to search compound databases for similar molecular shapes, Journal of Computational Chemistry, 2007, 28:1711-1723]). The approach calculates the distances of each atom to four specific points: the centroid of the molecule, the atom that is closest to the centroid, the atom that is farthest from the centroid and the atom that is farthest from the previous atom. Thus we get 4 sets of distance distributions. The final descriptor set is generated by evaluating the first three moments of each distance distribution.
To use this node in KNIME, install KNIME CDK Integration from the following update site:
Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to firstname.lastname@example.org, follow @NodePit on Twitter, or chat on Gitter!
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.