| Literature DB >> 29389963 |
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Abstract
[This corrects the article DOI: 10.1371/journal.pntd.0005882.].Entities:
Year: 2018 PMID: 29389963 PMCID: PMC5794065 DOI: 10.1371/journal.pntd.0006228
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Top ranking alignments of informative library peptides to the T. cruzi proteome.
| Total | Target 20mer | # peptide hits | TrTrypDB Gene ID | ||
|---|---|---|---|---|---|
| 1 | Mucin: TcMucII | 3473 | TRAPSRLREVDGSLGSSAWV | 63 | |
| 2 | Uncharacterized protein | 3329 | RRLSYRLRKREDGESYESYL | 59 | |
| 3 | Uncharacterized protein | 3181 | VPVLRVVDAEADERERNGAG | 56 | TCSYLVIO_001012 |
| 4 | Calmodulin | 3096 | TEVDVREALRVLDADGDGFL | 57 | |
| 5 | Uncharacterized protein | 3091 | SYRQQRYVDALRFALEEDHE | 56 | |
| 6 | Mucin: TcMucII | 3032 | RAPSRLREFDGSLSSSAWVC | 56 | |
| 7 | Uncharacterized protein | 3007 | KLRQLDFVEDVLRKHPDKVE | 52 | |
| 8 | Dispersed gene family protein 1 (DGF-1) | 2983 | HRGGLEALLRDGEDGDEDAQ | 58 | |
| 9 | Uncharacterized protein | 2973 | LPAQDSVVVRRLVDGQAPLR | 51 | |
| 10 | Vacuolar protein sorting-associated protein (Vps26) | 2966 | ERSPGLLGRLLRKVDGCDVR | 52 | TCSYLVIO_008174 |
* The families in which these proteins are members have been previously identified as antigenic
Confusion matrix and performance estimates of the multiclass prediction model.
| IST Classification | |||||||
|---|---|---|---|---|---|---|---|
| HBV+ | HCV+ | WNV+ | Sens | Spec | AUC | ||
| 77 | 3 | 1 | 2 | 93% | 96% | 0.98 | |
| HBV+ | 3 | 79 | 12 | 2 | 82% | 96% | 0.96 |
| HCV+ | 0 | 3 | 55 | 2 | 92% | 94% | 0.95 |
| WNV+ | 8 | 3 | 3 | 82 | 85% | 97% | 0.97 |
| Totals | 88 | 88 | 71 | 88 | Overall accuracy = 87% | ||
aSens, sensitivity
bSpec, specificity
Binary classification of each of four disease classes versus a combined class of the remaining three.
| Classes | AUC | Sensitivity@ | Specificity@ | Accuracy@ | Model size |
|---|---|---|---|---|---|
| 0.97 | 92% | 94% | 92% | 50 | |
| HBV vs. | 0.94 | 85% | 85% | 87% | 16000 |
| HCV vs. | 0.96 | 90% | 91% | 90% | 100 |
| WNV vs. | 0.96 | 87% | 88% | 89% | 1000 |
aspec, specificity
bsens, sensitivity