Table 3.
In silico predictions of biological activities of validated toxins identified in the venom of A. rondoniae spiders.
Antimicrobial activity | Antitumoral activity | |||||||
---|---|---|---|---|---|---|---|---|
Peptide | Bacterial | Viral | Fungal | RFACP | Prob. | SVMACP | Prob. | |
Gomesin | 0.985 | 0.898 | 0.973 | ACP | 0.668 | ACP | 0.926 | |
Rondonin | 0.671 | 0.301 | 0.903 | Non-ACP | 0.400 | Non-ACP | 0.447 | |
P9 | 0.997 | 0.940 | 0.992 | Non-ACP | 0.479 | ACP | 0.816 | |
mBD4 | 0.990 | 0.773 | 0.968 | Non-ACP | 0.371 | ACP | 0.837 | |
Aurein 1.2 | 0.940 | 0.913 | 0.917 | ACP | 0.870 | ACP | 0.935 | |
HNP-1 | 0.920 | 0.920 | 0.950 | ACP | 0.879 | ACP | 0.938 | |
PLPVFV | 0.623 | 0.586 | 0.515 | ACP | 0.639 | ACP | 0.656 | |
VVVPFVV | 0.645 | 0.538 | 0.432 | ACP | 0.637 | ACP | 0.635 | |
VENLAEP | 0.083 | 0.046 | 0.028 | Non-ACP | 0.296 | Non-ACP | 0.508 | |
VLPPLKF | 0.801 | 0.794 | 0.828 | ACP | 0.632 | ACP | 0.740 | |
VPPILKY | 0.751 | 0.410 | 0.429 | ACP | 0.501 | ACP | 0.528 | |
YPPPPPPPH | 0.542 | 0.382 | 0.406 | Non-ACP | 0.442 | ACP | 0.618 | |
FETPNNPDGKVTKQE | 0.133 | 0.143 | 0.082 | Non-ACP | 0.350 | Non-ACP | 0.164 | |
U1-TRTX-Agm3a | 0.843 | 0.696 | 0.579 | ACP | 0.559 | ACP | 0.878 | |
U1-TRTX-Ar1a | 0.994 | 0.968 | 0.976 | Non-ACP | 0.489 | ACP | 0.862 | |
U1-TRTX-Ar1b | 0.987 | 0.966 | 0.972 | ACP | 0.541 | ACP | 0.903 | |
U2-TRTX-Ar1a | 0.940 | 0.685 | 0.920 | Non-ACP | 0.283 | ACP | 0.624 | |
U3-TRTX-Ar1a | 0.996 | 0.918 | 0.982 | Non-ACP | 0.292 | Non-ACP | 0.360 | |
U3-TRTX-Ar1b | 0.997 | 0.924 | 0.986 | Non-ACP | 0.324 | Non-ACP | 0.381 | |
U4-TRTX-Ar1a | 0.981 | 0.770 | 0.954 | Non-ACP | 0.139 | Non-ACP | 0.121 | |
U4-TRTX-Ar1b | 0.978 | 0.742 | 0.937 | Non-ACP | 0.142 | Non-ACP | 0.128 | |
U5-TRTX-Ar1a | 0.996 | 0.858 | 0.989 | Non-ACP | 0.363 | ACP | 0.519 | |
U6-TRTX-Ar1a | 0.986 | 0.826 | 0.947 | Non-ACP | 0.300 | ACP | 0.538 | |
U7-TRTX-Ar1a | 0.991 | 0.855 | 0.926 | Non-ACP | 0.256 | Non-ACP | 0.302 |
Antimicrobial activities were predicted by iAMPpred (Meher et al., 2017). Anticancer activities were predicted by MLACP (Manavalan et al., 2017): RFACP, random forest method; SVAMCP, support vector machine method; ACP, anticancer peptide; Non-ACP, nonanticancer peptide.