The Bonferroni correction assumes that all tests performed are independent, which is not necessarily the case for parameterizations generated by DockOpt, as parameterizations nearby in parameter space are expected to yield similar results. However, the significance threshold obtained by the Bonferroni correction is strictly more stringent than that obtained by any method that accounts for dependent tests, so using it only further mitigates the risk of falsely identifying insignificant results as significant. Consequently, it's important to recognize that this conservative approach may increase the risk of false negatives, particularly in contexts of high test correlation.