Table 3 Case study 1: potential IL-13 inducing peptides from SARS-CoV-2 spike protein
From: iIL13Pred: improved prediction of IL-13 inducing peptides using popular machine learning classifiers
S.No | Peptide sequence | Proposed study (probability) | Jain et al. [19] (probability) |
|---|---|---|---|
1 | ELDSFKEELDKYFKN | 0.06 | 0.39 |
2 | LLTDEMIAQYTSALL | 0.03 | 0.32 |
3 | KQGNFKNLREFVFKN | 0.05 | 0.30 |
4 | EIDRLNEVAKNLNES | 0.04 | 0.30 |
5 | VNIQKEIDRLNEVAK | 0.06 | 0.27 |
6 | LYRLFRKSNLKPFER | 0.22 | 0.25 |
7 | NIQKEIDRLNEVAKN | 0.11 | 0.23 |
8 | KSTNLVKNKCVNFNF | 0.12 | 0.22 |
9 | VLTESNKKFLPFQQF | 0.02 | 0.22 |
10 | IQKEIDRLNEVAKNL | 0.14 | 0.22 |