We measured the normality of dataset distributions (i.e., physicochemical properties) for both groups (ACP-S and ACP-NS) using Shapiro-Wilk and Lilliefors tests, according to the sample sizes, before evaluating which dataset(s) had the same distribution in both groups. We determined the variance with either F-test for a normally distributed dataset (ND) or the Fligner-Killen test for an abnormally distributed dataset (AD). We compared the means of physicochemical properties between membranolytic ACP-S and ACP-NS by applying the three respective statistical tests; (1) Welch's t-test to NDs with different variances, (2) Wilcoxon test (also known as Wilcoxon rank-sum) to ADs with the same variance and (3) Kolmogorov-Smirnov test to ADs with different variances, using a significance level α of 0.05. We controlled the false discovery rate with the Benjamini and Hochberg method using the same value α. All tests were performed using (v.3.6.3) and RStudio (v.1.2.5033) . The statistical pipeline is visible in Figure .