Table 3. In Silico Characterization of Features with Biological Importance.
peptide | half-lifea | stabilitya | antigenic determinantsb | hemolytic potentialc | toxin predictiond | BBB prediction (score)e |
---|---|---|---|---|---|---|
Pep-H2-L | 1.91 | high | 0 | nonhemolytic | non-toxic | BBB+ (0.15) |
Pep-H2-C | 1.75 | high | 0 | nonhemolytic | non-toxic | BBB+ (0.17) |
Pep-H3-L | 1.08 | high | 0 | nonhemolytic | non-toxic | BBB+ (0.25) |
Pep-H3-C | 1.18 | high | 0 | nonhemolytic | non-toxic | BBB+ (0.25) |
Pep-L3-L1 | 0.90 | normal | 0 | nonhemolytic | non-toxic | BBB+ (0.13) |
Pep-L3-C1 | 0.88 | normal | 0 | nonhemolytic | non-toxic | BBB+ (0.16) |
Pep-L3-L2 | 0.90 | normal | 0 | nonhemolytic | non-toxic | BBB+ (0.12) |
Pep-L3-C2 | 0.88 | normal | 0 | nonhemolytic | non-toxic | BBB+ (0.23) |
Prediction of the half-life/stability of the mimetic peptides in the intestine like environment using HLP (https://webs.iiitd.edu.in/raghava/hlp/).
The number of antigenic determinants in each peptide sequence was obtained from Predicting Antigenic Peptides (http://imed.med.ucm.es/Tools/antigenic.pl).
The hemolytic potential of the sequences predicted using HemoPred (http://codes.bio/hemopred/).
The toxicity potential of the peptides was obtained using ToxinPred (http://crdd.osdd.net/raghava/toxinpred/).
The classification of the peptides regarding their potential ability to cross the blood–brain barrier was carried out using the parameters of B3Pred (https://webs.iiitd.edu.in/raghava/b3pred/predict.php).