The use of the Bonferroni correction in our analysis provides a check for judging the efficacy of DockOpt. By adjusting the significance threshold to account for the use of multiple tests, the Bonferroni correction effectively reduces the probability of Type I errors (i.e., false positives). This statistical correction serves as a key control mechanism, providing confidence that the performance improvements we report in this work are not merely statistical contrivances but indeed genuine indicators of the ability of DockOpt to effectively optimize docking models. Although the Bonferroni correction assumes that the tests are independent, which is likely not the case with DockOpt, it nevertheless provides a reliable conservative measure of statistical significance.