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. 2024 Sep 20;15(19):3543–3562. doi: 10.1021/acschemneuro.4c00453

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)
a

Prediction of the half-life/stability of the mimetic peptides in the intestine like environment using HLP (https://webs.iiitd.edu.in/raghava/hlp/).

b

The number of antigenic determinants in each peptide sequence was obtained from Predicting Antigenic Peptides (http://imed.med.ucm.es/Tools/antigenic.pl).

c

The hemolytic potential of the sequences predicted using HemoPred (http://codes.bio/hemopred/).

d

The toxicity potential of the peptides was obtained using ToxinPred (http://crdd.osdd.net/raghava/toxinpred/).

e

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).