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7. Additional steps II) Searching a dataset according to prediction values

You can search for specific prediction data in Ambit2 by using the following URL construct:<number>&search=<search query>

Simply replace <number> with the feature number within which you'd like to search, and the <search query> with what you want to search for.

Let's search for all Class I predictions obtained with the ToxTree: Cramer rules model. The feature number is 22254 (the feature URI is, and the search query is Low+(Class+I). Note that the "+" sign stands for a space. The resulting search URL is:

The Cramer rules for oral toxicity are very conservative, and negative predictions (i.e. as "Low (Class I)") can be used with fairly high confidence. Thus, this small set represents a good set of potentially safe compounds to study further. However, keep in mind that even though a compound may be classified as "High (Class III)" by Cramer rules there is a good chance it is wrong. Summarizing, having a compound classified as "Low (Class I)" is quite relevant information, whereas having a compound classified as "High (Class III)" is not.

Alternatively, if we are interested in eliminating toxic compounds from our drug candidate list, we could search for compounds classified as Class I (narcosis or baseline toxicity) according to the Verhaar scheme. The feature number for the "ToxTree: Verhaar scheme for predicting toxicity mode of action" model is 823450, and the search query is Class+1+(narcosis+or+baseline+toxicity). The resulting URL is

Note that these search links display the filtered dataset according to the search query, but they don't display the prediction features according to which the search has been made. To include those, append &feature_uris[]= (for the Cramer rules) or &feature_uris[]= to the search URLs.


Next Step: 8. Additional steps III) Obtaining additional predictions

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