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Mar 24 2026
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| Documentation | In this example we build a 3D QSAR model based on a set of Thyroid Hormone Receptor Alpha (THRA) inhibitors using Atomic Property Fields (APF). The example uses experimental pKd values from ChEMBL for the training set - the pKd values are also listed for the external test set so you can compare how good the model is. Both the test set and training set relies on 3D superimposed chemicals. In this example we have 8 THRA inhibitors from the PDB already superimposed and we will superimpose our training set and test set onto those. Template ligands from the PDB is the ideal scenario because it provides confidence in the conformation but if you do not have this you can use the best superposition for your lead compounds using the superimpose options described here.
Step 12 The prediction model will be saved in the ICM Workspace (see Step 5 above). The prediction model can be used again on other chemicals superimposed on the training set.
Ligand Editor
1. Click "ligedit"
2. Click "Setup Ligand"
3. Click "Ok"
4. Click "Setup Receptor"
5. Click "a_1m17."
6. Click "a_1m17."
7. Click "Optimize Existing Hydrogens"
8. Click "Make Box Around Existing Ligand"
9. Click "Setup Receptor"
10. Click "Molsoft icm 3.9-4a Andrews-MacBook-Pro-2.local NewProject * (2 objects)"
11. Click "Molsoft icm 3.9-4a Andrews-MacBook-Pro-2.local NewProject * (2 objects)"
12. Click "Molsoft icm 3.9-4a Andrews-MacBook-Pro-2.local NewProject * (2 objects)"
13. Click "Setup Receptor"
14. Click "Ok"
15. Click "Minimize Ligand in soft grid"
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