This node will run an encapsulated SMARTCyp 2.4.2 jar. The results generated should be the same as those generated by the web service (http://www.farma.ku.dk/smartcyp/) and
SMARTCyp 2.4.2 jar. To allow for this the CDK adapter cell is generated, a molfile String is then produced and passed into SMARTCyp which will then use the older 1.4.x CDK
for calculations. Refactoring efforts to generate a node running CDK 1.5.12 resulting in changed to the output results, use this node to generate 2.4.2 based results.
About SMARTCyp:
Description taken from: http://www.farma.ku.dk/smartcyp
SMARTCyp is a method for prediction of which sites in a molecule that are most liable to metabolism by Cytochrome P450.
It has been shown to be applicable to metabolism by the isoforms 1A2, 2A6, 2B6, 2C8, 2C19, 2E1, and 3A4 (CYP3A4), and
specific models for the isoform 2C9 (CYP2C9) and isoform 2D6 (CYP2D6) are included from version 2.1. CYP3A4, CYP2D6,
and CYP2C9 are the three of the most important enzymes in drug metabolism since they are involved in the metabolism
of more than half of the drugs used today.
SMARTCyp is Developed by the Deparment of Drug Design and Pharmacology at the University of Copenhagen and is funded by Lhasa Limited.
More details can be found at: http://www.farma.ku.dk/smartcyp/about.php.
Notes on output:
If the energy is 999, then there is no matching energy rule. Such sites should not be considered as possible sites of metabolism.
Score, S = E - 8*A - 0.04*SASA
Energy = E
E is an approximate activation energy for the reaction of the catalytic site of a CYP with the molecule at this atom. It is
decided by fragment matching of each atom against a lookup table with SMARTS rules and activation energies in kJ/mol.
Accessibility = A
The accessibility is a relative measure of the topological distance for an atom from the center of the molecule, and is always a number between 0.5 (atom at the center) and 1 (atom at the end).
Solvent Accessible Surface Area = SASA
The SASA describes the local accessibility of an atom and is computed using the 2DSASA algorithm which predicts this value from the molecular topology (for an exact value 3D coordinates would be necessary).
Known limitations:
Since the SMARTCyp method relies heavily on reactivity there are some specific types of sites which often are ranked too high or too low.
Sites with very low 3D accessibility are ranked too high
Sites which are found as metabolites only due to entropy are ranked too low (for example tertbutyl groups which have nine identical hydrogen atoms).
For really large compounds (more than 40 non-hydrogen atoms in CYP3A4) the reactive sites found by SMARTCyp are usually not the experimentally found metabolites. This is probably because the sites of metabolism
for such large compounds depend heavily on the binding conformation.
Additional information:
- Citing SMARTCyp http://www.farma.ku.dk/smartcyp/cite.php
- Interpreting results: http://www.farma.ku.dk/smartcyp/interpret.php
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