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FABind+ doesn't have a module that's directly trained to predict binding affinity. However, we do provide a pre-trained confidence score head (available in confidence_model.bin). You can refer to the inference script here for details. During inference, you can control whether to sample multiple pockets/conformations using the --use-clustering and --infer-dropout parameters.
Does FABind+ provide a binding affinity or confidence score in its output to evaluate ligand-protein interactions?
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