A reliability-aware evidential fusion model combines four docking engines and produces well-calibrated confidence scores that enable selective prediction with up to 25.7% error reduction.
Flower, Subhagata Chattopadhyay, and Amit K
1 Pith paper cite this work, alongside 14 external citations. Polarity classification is still indexing.
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Trustworthy Protein-Ligand Binding Affinity Prediction via Reliability-Aware Multi-Engine Fusion
A reliability-aware evidential fusion model combines four docking engines and produces well-calibrated confidence scores that enable selective prediction with up to 25.7% error reduction.