List of B-cell epitopes predicted by BepiPred method ( using a window size of 9 amino acids)
>Input Sequence
TKSQTHVPIRPNKLVLKVQKDRATN
Start Position |       End Position |       Peptide |       Score |       PD Search in SDAP |       Cross-Reactivity Prediction |
---|---|---|---|---|---|
17 |       25 | KVQKDRATN |       3.353 |       Click here for PD Search |       Click here for Cross-React search |
16 |       24 | LKVQKDRAT |       1.72 |       Click here for PD Search |       Click here for Cross-React search |
5 |       13 | THVPIRPNK |       1.309 |       Click here for PD Search |       Click here for Cross-React search |
2 |       10 | KSQTHVPIR |       1.222 |       Click here for PD Search |       Click here for Cross-React search |
4 |       12 | QTHVPIRPN |       1.133 |       Click here for PD Search |       Click here for Cross-React search |
3 |       11 | SQTHVPIRP |       0.945 |       Click here for PD Search |       Click here for Cross-React search |
1 |       9 | TKSQTHVPI |       0.9 |       Click here for PD Search |       Click here for Cross-React search |
15 |       23 | VLKVQKDRA |       0.884 |       Click here for PD Search |       Click here for Cross-React search |
6 |       14 | HVPIRPNKL |       0.748 |       Click here for PD Search |       Click here for Cross-React search |
13 |       21 | KLVLKVQKD |       0.737 |       Click here for PD Search |       Click here for Cross-React search |
14 |       22 | LVLKVQKDR |       0.722 |       Click here for PD Search |       Click here for Cross-React search |
12 |       20 | NKLVLKVQK |       0.71 |       Click here for PD Search |       Click here for Cross-React search |
10 |       18 | RPNKLVLKV |       0.621 |       Click here for PD Search |       Click here for Cross-React search |
9 |       17 | IRPNKLVLK |       0.586 |       Click here for PD Search |       Click here for Cross-React search |
11 |       19 | PNKLVLKVQ |       0.549 |       Click here for PD Search |       Click here for Cross-React search |
Source: Epitopes are predicted using BepiPred webserver implemented in IEDB Analysis Resource at http://tools.iedb.org/main/bcell/
Thanks for using SDAP Database