| QSAR |


1. Open an example study table
This file contains screening data for 1641 structures, classified from 0 (inactive) to 3 (highly active). The study table contains the combichem default descriptors, the E-state keys, and ISIS fingerprints.
3. Building and crossvalidating the recursive partitioning tree
Once the run is complete, the results appear in the Table Manager control panel for the crossvalidation experiments and for the final model built from the whole dataset. For each class the results show:
As the molecules are imported, the descriptors are calculated and the recursive partitioning equation is applied to predict a value for each new molecule.
1. Create the BDF file
Using CSAR with binary data files
2. Running and crossvalidating the RP model
This creates predicted-activity columns for the members of the benzo_720 library.