Help & Resources
Start by selecting one or more of the predictors. If you have built many predictors on the same modeling dataset, you may want to choose all of them, so that you can compare their predictions. In most cases, however, you will only need to use one of the predictors.
Once you have selected one or more predictors, you can then choose between single molecule prediction and dataset prediction.
Single Molecule Prediction
A prediction can be made on a single molecule instead of an entire dataset. You can enter in a SMILES string directly and hit "Predict". You can also draw a molecule using the Java applet, and click "Get SMILES" to retrieve its SMILES string for prediction. Single molecule predictions do not require the running of a job; the predictions will be calculated immediately and displayed on the Predictions page.
Choose a dataset and specify a similarity cutoff. Setting the cutoff higher (e.g. to 5) will result in more predictions, but the predictions will be of lower confidence as they are likely to be outside the models' applicability domain. Note that the cutoff value is measured in standard deviations, so it is nonlinear.
The Prediction Job
In a prediction, the descriptor type of each predictor is examined. These descriptors are then generated for the dataset to be predicted. The descriptors are normalized according to the ranges used in the predictor's training set. Then, the predictors are each applied to the scaled descriptor sets to create predictions. The results can be viewed by clicking on the name of the prediction in the Predictions section of the My Bench page.