A method for predicting the binding mode of a series of ligands is proposed. The procedure relies on three-dimensional quantitative structure–activity relationships (3D-QSAR) and does not require structural knowledge of the binding site. Candidate alignments are automatically built and ranked according to a consensus scoring function. 3D-QSAR analysis based on the selected binding mode enables affinity prediction of new drug candidates having less than 10 rotatable bonds.
A 3D-QSAR-driven approach to binding mode and affinity prediction
TOSCO, Paolo;
2011-01-01
Abstract
A method for predicting the binding mode of a series of ligands is proposed. The procedure relies on three-dimensional quantitative structure–activity relationships (3D-QSAR) and does not require structural knowledge of the binding site. Candidate alignments are automatically built and ranked according to a consensus scoring function. 3D-QSAR analysis based on the selected binding mode enables affinity prediction of new drug candidates having less than 10 rotatable bonds.
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