Prepare Your Data:
Import your chemical dataset into ICM-Pro.
Ensure that each molecule is decomposed into R-groups based on a common Markush structure.
Include an activity column with experimental or predicted values.
Access the Free Wilson Regression Tool:
Navigate to the menu: Chemistry > SAR Analysis > Free Wilson Regression Analysis.
Configure the Analysis:
Select the table containing your R-group data.
Choose the appropriate activity column for analysis.
Optionally, enable the enumeration of the full library to identify promising combinations of substituents.
Run the Analysis:
Execute the regression analysis to build a linear model that relates R-group presence to activity.
Interpret the Results:
The tool will generate weights for each R-group, indicating their contribution to the predicted activity:
Positive weights (colored blue) suggest a favorable impact on activity.
Negative weights (colored red) suggest an unfavorable impact.
Review the output tables to identify the most influential R-groups and their combinations.
This method assists in uncovering significant substituent combinations that might be overlooked by other Structure-Activity Relationship (SAR) analysis techniques.