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On page 932 (DOI: 10.1002/jcc.23579), Sam Z. Grinter and Xiaoqin Zou introduce a new method of handing the sparse data problem in knowledge-based scoring functions and present the approach in a scoring function called STScore. This Bayesian statistical approach, though presented in the context of protein-ligand docking, may be used with other knowledge-based scoring functions for protein-protein docking and protein structure prediction. The cover compares the native binding mode of PDB:2cgr, correctly identified by STScore, with the binding mode predicted by a rudimentary potential of mean force. The cover also shows three example curves for the probability density function used in the derivation of STScore.