Proceedings of the Symposium on Chemoinformatics
40th Symposium on Chemoinformatics, Yamaguchi
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Poster Session
3D-QSAR for CDK2 inhibitors using the fragment binding energy obtained by FMO method
*Tomoki YoshidaNoriyuki YamaotsuShuichi Hirono
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CONFERENCE PROCEEDINGS FREE ACCESS

Pages P8-

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Abstract
We developed a 3D-QSAR model for CDK2 inhibitors using protein-ligand docking, fragment molecular orbital (FMO) method and PLS regression. In order to obtain reliable complex structures, each inhibitor with known activity was docked to the protein structure prepared from the X-ray structure of protein complexed with the most similar ligand. Then, fragment binding energies upon ligand binding were calculated using FMO method. Finally, using the fragment binding energies as descriptors, a PLS regression model for predicting inhibitory activity was developed and validated. The 3D-QSAR model was able to predict the experimental activity for a variety of CDK2 inhibitors with broad activity.
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