This node implements the Hussain and Rea algorithm for finding Matched Molecular Pairs in a dataset. The node takes an input table of fragments generated by the MMP Molecule Fragment nodes and generates an output table of matched molecular pairs (MMPs)
The node requires two SMILES input columns, representing the 'key' (unchanging atoms) and 'value', and a string column containing the ID. The node will attempt to auto-guess these column selections based on the default names for the columns output by the fragment node.
The input table can contain fragmentations from differing numbers of cuts, in which case this will be reflected in the output table.
The table will be pre-sorted by key followed by value during execution, unless the 'Incoming table is sorted by Keys and Values?' option is selected. If this option is selected and correct sorting is not applied, then pairs may be missed (incorrect keys sorting) or non-canonical in their direction (incorrect values sorting)
Incoming columns can be passed through unchanged (Left, Right or both), numeric columns (Integer, Long, Double and Complex Number) can have differences (L - R or R - L) and ratios (Double only) calculated (L / R or R / L)
Transforms can be filtered based on the Value Attachment point graph distance calculated during fragmentation using a number of options
This node was developed by Vernalis Research . For feedback and more information, please contact knime@vernalis.com
1.J. Hussain and C Rea, " Computationally efficient algorithm to identify matched molecular pairs (MMPs) in large datasets ", J. Chem. Inf. Model. , 2010, 50 , 339-348 (DOI: 10.1021/ci900450m ).
You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.
To use this node in KNIME, install the extension Vernalis KNIME Nodes from the below update site following our NodePit Product and Node Installation Guide:
A zipped version of the software site can be downloaded here.
Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.
Try NodePit Runner!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 mail@nodepit.com.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.