Message-ID: <310528208.177.1632427506138.JavaMail.bigchem@cpu> Subject: Exported From Confluence MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_Part_176_1570439611.1632427506138" ------=_Part_176_1570439611.1632427506138 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable Content-Location: file:///C:/exported.html Prediction neighbors

Prediction neighbors

OCHEM allows exploring the training set compounds that are in so= me way similar to the predicted compound (so called "prediction ne= ighbors").

The prediction neighbors feature might be helpful for i= nterpretation of a particular prediction.
Are there similar compounds= in the training set? Are they active or inactive? These questions are addr= essed with the prediction neighbors feature.

To browse the neighbors of a particular prediction, simply click the &qu= ot;prediction neighbors" link as on the screenshot below:

This will open the prediction neighbors explorer, which will show the si= milar structures from the training set and the detailed info (predictions, = experimental values, etc.).

Similarity types

There are several ways to define the "nearest" neighbors from = the training set. The most obvious one is structural similarity (e.g., usin= g Tanimoto similarity). This is the default option= .

If the model was built as an ensemble (that is, using bagging validation protocol, configured to store the ind= ividual ensemble predictions), the two other similarity measures are availa= ble:

 

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