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The conceptual basis of the approach is provided by the following ideas: based on the observed frequency of occurrence of given core and value fragments in active versus inactive compounds (in the following referred to as the active versus inactive class), probabilities of activity and inactivity can be derived for cores and values.
The pKi values in these databases were then capped to create an active and inactive class.
A positive or negative f( x ) value indicates that the vector x belongs to the active or inactive class respectively.
To enlarge and widen the range of datasets, we added 7 balanced datasets (i.e., datasets with about equal amount of active and inactive class values).
The model was then used to predict the probabilities that each individual molecule in the test and validation sets has come from each of the 10 prohibited activity classes or from the inactive class.
For situations with targets with very high numbers of inactive compounds, undersampling was performed through the randomised removal of instances from the inactive class to accomplish the desired ratio.
Similar(48)
This trend blurs the boundary of the hyperplane between the active and inactive classes.
During internal validation, sphere exclusion models perform better in comparison to PubChem inactive classes, due to the dissimilarity requirement between the active compounds and SE inactive compounds.
Data were extracted from Aureus Pharma' AurSCOPE Kinase knowledge database and active or inactive classes were assigned to ligands based on IC50 biological activity.
In linearly separable cases, SVM constructs a hyper-plane to separate active and inactive classes of compounds with a maximum margin.
The complete data set of 206,559,765 ligand-target pairs from both the active and inactive classes is available for use as a benchmark data set (see Additional file 1).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com