### Antimicrobial and Toxicity Screening of Virtual Peptides Reveals High AMP Diversity
The final robust dataset of non-redundant, non-haemolytic, and non-toxic AMPs from Cnidaria, comprising 28,279 peptides, was selected for further analysis. These peptides offer considerable potential for biomedical research and drug development. Additionally, we provide specialized datasets tailored to various research needs. \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Proteolysis** & **Peptides** & **(1) AMP** & **(2) Non-Haemolytic** & **(3) Non-Haemolytic** \\
**Protocol** & **Peptides** & **(1) AMP** & **AMP** & **and Non-Toxic AMP** \\ \hline db3\_aspn & 1,820,209 & 134,007 & 21,138 & 5055 \\ db3\_chym & 818,622 & 14,534 & 3665 & 946 \\ db3\_gluc & 1,609,672 & 78,250 & 26,331 & 4974 \\ db3\_protk & 58,164 & 456 & 96 & 9 \\ db3\_tryp & 1,849,069 & 38,029 & 12,366 & 4023 \\ \hline Peptides db3 & 6,155,736 & 265,276 & 63,596 & 15,007 \\ nr Peptides db3 & 4,229,977 & 244,894 & 62,423 & 14,816 \\ \hline db4\_aspn & 586,367 & 42,756 & 6531 & 1486 \\ db4\_chym & 250,336 & 4260 & 1033 & 269 \\ db4\_gluc & 519,668 & 24,700 & 8248 & 1586 \\ db4\_protk & 17,080 & 111 & 22 & 3 \\ db4\_tryp & 595,910 & 12,479 & 4080 & 1356 \\ \hline Peptides db4 & 1,969,361 & 84,306 & 19,950 & 4700 \\ nr Peptides db4 & 1,357,350 & 77,857 & 19,583 & 4638 \\ \hline db5\_aspn & 996,612 & 72,434 & 11,325 & 2633 \\ db5\_chym & 436,127 & 3929 & 934 & 234 \\ db5\_gluc & 883,537 & 40,721 & 13,585 & 2640 \\ db5\_protk & 30,722 & 239 & 56 & 11 \\ db5\_tryp & 1,014,421 & 20,694 & 6565 & 2134 \\ \hline Peptides db5 & 3,361,419 & 138,017 & 32,465 & 7652 \\ nr Peptides db5 & 2,316,742 & 127,952 & 31,909 & 7580 \\ \hline db6\_aspn & 177,282 & 12,861 & 1907 & 389 \\ db6\_chym & 69,353 & 1162 & 292 & 70 \\ db6\_gluc & 153,954 & 6591 & 2300 & 416 \\ db6\_protk & 4704 & 21 & 2 & 0 \\ db6\_tryp & 179,035 & 3800 & 1204 & 375 \\ \hline Peptides db6 & 584,328 & 24,435 & 5705 & 1250 \\ nr Peptides db6 & 404,314 & 22,683 & 5585 & 1237 \\ \hline db7\_aspn & 97,943 & 6914 & 1138 & 299 \\ db7\_chym & 49,536 & 937 & 254 & 54 \\ db7\_gluc & 86,699 & 4444 & 1486 & 320 \\ db7\_protk & 3909 & 45 & 7 & 0 \\ db7\_tryp & 100,524 & 2029 & 643 & 208 \\ \hline Peptides db7 & 338,611 & 14,369 & 3528 & 881 \\ nr Peptides db7 & 230,192 & 13,177 & 3456 & 867 \\ \hline Total Peptides & 12,428,038 & 527,096 & 125,403 & 29,528 \\ Total nr Peptides & 8,278,560 & 473,747 & 119,531 & 28,279 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: \(Cont.\)Physicochemical Properties Indicate the Suitability of the Non-Haemolytic and Non-Toxic AMPs for Targeting Microbial Membranes  
Shifts in global peptide characteristics are expected throughout the AMP mining process, particularly between the enzymatically processed AMP precursors, mature AMPs, and non-haemolytic and non-toxic AMPs. Essentially, significant differences (\(p<0.05\)) for the variation of the physicochemical properties were found within all databases, except for db1 in sequence charge (\(p\) = 0.12), instability index (\(p\) = 0.82), isoelectric point (\(p\) = 0.09), and sequence length (\(p\) = 0.08); db2 in all properties (\(p\) > 0.05); and db7 in molecular weight (\(p\) = 0.51) (Figure 3). Then, Wilcoxon Signed-Rank tests were used to specifically identify significance in property variations by performing pairwise comparisons between the peptides, AMPs, and non-toxic AMPs (Figure 3) (here in the text, \(p\) values represent the differences between the peptides and the non-haemolytic and non-toxic AMPs). The aliphatic index, which reflects peptide thermostability and resistance to proteolytic enzymes, is elevated in AMPs and non-haemolytic and non-toxic AMPs, with significant differences between peptides and the final AMP dataset (db1: \(p\) = 0.001; db3: \(p\) = 0.0; db4: \(p\) = 1.70 \(\times\) 10\({}^{-102}\); db5: \(p\) = 9.18 \(\times\) 10\({}^{-187}\); db6: \(p\) = 1.40 \(\times\) 10\({}^{-44}\); db7: \(p\) = 2.19 \(\times\) 10\({}^{-16}\)).