Table 2.
Comparison of system functionality between dbAMP and other AMP databases
| Database |
|
APD3 | ADAM | LAMP | AMPer | AntiBP2 | BACTIBASE | PhytAMP | dbAMP |
|---|---|---|---|---|---|---|---|---|---|
| PubMed ID | 26467475 | 26602694 | 26000295 | 23825543 | 17341497 | 20122190 | 20105292 | 18836196 | - |
| Number of AMP sequences | 10 247 | 2889 | 7007 | 5548 | 1298 | 999 | 228 | 273 | 12 389 |
| Number of organisms | 773 | 1396 | 794 | Multiple | Eukaryotes | Multiple | Bacteriocins | Plant | 2048 |
| Number of AMP tertiary structures | 757 | 388 | 759 | 189 | N/A | N/A | 72 | 39 | 1169 |
| AMP prediction model | Random forest | - | SVM/HMM | - | HMM | SVM | - | HMM | Random forest |
| AMP detection on multiple species | N/A | - | N/A | - | N/A | N/A | - | N/A | Seven life domains |
| Number of AMP targets | - | - | - | - | - | - | - | - | 2172 |
| Number of AMP-interacting proteins | - | - | - | - | - | - | - | - | 6338 |
| Antimicrobial potency Analysis | - | - | - | - | - | - | - | - | Antimicrobial potency of cationic AMPs can be determined from their amino acid composition |
| Detection of cryptic region in AMPs | - | - | - | - | - | - | - | - | Determining the cryptic region by referring to net charge and hydrophobicity |
| Against target species | Providing the activity of AMPs against target species based on sequence analysis | ||||||||
| NGS data analysis | - | - | - | - | - | - | - | - | Using the developed Docker container to explore AMPs for transcriptome data |