Table 1 Impact of the vProID score on the sensitivity and specificity of virus identification for various filtering strategies of peptide identification results
Filtering | Peptide identifications | Specificity | Sensitivity | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Parameter set | vPro | FDR [%] | Min. CScore | Min. peptides (virus) | Peptides (human) | Peptides (virus) | Peptides (contaminants) | False positive virus tests | Total negative virus tests | Specificity (tests) [%] | False positive samples | Total negative samples | Specificity (samples) [%] | Correct positive samples | Total positive samples | Sensitivity [%] |
1 | No | 1 | 0 | 1 | 805,681 | 2361 | 662 | 979 | 21,788 | 95,5 | 8 | 8 | 0 | 37 | 58 | 64 |
2 | 2 | 805,681 | 2361 | 662 | 136 | 21,788 | 99,4 | 8 | 8 | 0 | 33 | 58 | 57 | |||
3 | 3 | 805,681 | 2361 | 662 | 73 | 21,788 | 99,7 | 8 | 8 | 0 | 31 | 58 | 53 | |||
4 | 5 | 805,681 | 2361 | 662 | 68 | 21,788 | 99,7 | 8 | 8 | 0 | 21 | 58 | 36 | |||
5 | 0.1 | 1 | 527,111 | 357 | 434 | 88 | 21,788 | 99,6 | 4 | 8 | 50 | 34 | 58 | 59 | ||
6 | 2 | 527,111 | 357 | 434 | 32 | 21,788 | 99,9 | 2 | 8 | 75 | 30 | 58 | 52 | |||
7 | 3 | 527,111 | 357 | 434 | 12 | 21,788 | 99,9 | 0 | 8 | 100 | 25 | 58 | 43 | |||
8 | 5 | 527,111 | 357 | 434 | 0 | 21,788 | 100 | 0 | 8 | 100 | 14 | 58 | 24 | |||
9 | 1 | 0.95 | 1 | 686,735 | 888 | 558 | 314 | 21,788 | 98,6 | 7 | 8 | 13 | 37 | 58 | 64 | |
10 | 2 | 686,735 | 888 | 558 | 63 | 21,788 | 99,7 | 7 | 8 | 13 | 32 | 58 | 55 | |||
11 | 3 | 686,735 | 888 | 558 | 56 | 21,788 | 99,7 | 5 | 8 | 38 | 29 | 58 | 50 | |||
12 | 5 | 686,735 | 888 | 558 | 40 | 21,788 | 99,8 | 2 | 8 | 75 | 19 | 58 | 33 | |||
13 | 0.1 | 1 | 527,111 | 357 | 434 | 88 | 21,788 | 99,6 | 4 | 8 | 50 | 34 | 58 | 59 | ||
14 | 2 | 527,111 | 357 | 434 | 32 | 21,788 | 99,9 | 2 | 8 | 75 | 30 | 58 | 52 | |||
15 | 3 | 527,111 | 357 | 434 | 12 | 21,788 | 99,9 | 0 | 8 | 100 | 25 | 58 | 43 | |||
16 | 5 | 527,111 | 357 | 434 | 0 | 21,788 | 100 | 0 | 8 | 100 | 14 | 58 | 24 | |||
1 | Yes | 1 | 0 | 1 | 805,681 | 2361 | 662 | 225 | 21,788 | 99,0 | 8 | 8 | 0 | 37 | 58 | 64 |
2 | 2 | 805,681 | 2361 | 662 | 13 | 21,788 | 99,9 | 3 | 8 | 63 | 33 | 58 | 57 | |||
3 | 3 | 805,681 | 2361 | 662 | 0 | 21,788 | 100 | 0 | 8 | 100 | 31 | 58 | 53 | |||
4 | 5 | 805,681 | 2361 | 662 | 0 | 21,788 | 100 | 0 | 8 | 100 | 21 | 58 | 36 | |||
5 | 0.1 | 1 | 527,111 | 357 | 434 | 59 | 21,788 | 99,7 | 2 | 8 | 75 | 34 | 58 | 59 | ||
6 | 2 | 527,111 | 357 | 434 | 0 | 21,788 | 100 | 0 | 8 | 100 | 30 | 58 | 52 | |||
7 | 3 | 527,111 | 357 | 434 | 0 | 21,788 | 100 | 0 | 8 | 100 | 25 | 58 | 43 | |||
8 | 5 | 527,111 | 357 | 434 | 0 | 21,788 | 100 | 0 | 8 | 100 | 14 | 58 | 24 | |||
9 | 1 | 0.95 | 1 | 686,735 | 888 | 558 | 94 | 21,788 | 99,6 | 3 | 8 | 63 | 37 | 58 | 64 | |
10 | 2 | 686,735 | 888 | 558 | 0 | 21,788 | 100 | 0 | 8 | 100 | 32 | 58 | 55 | |||
11 | 3 | 686,735 | 888 | 558 | 0 | 21,788 | 100 | 0 | 8 | 100 | 29 | 58 | 50 | |||
12 | 5 | 686,735 | 888 | 558 | 0 | 21,788 | 100 | 0 | 8 | 100 | 19 | 58 | 33 | |||
13 | 0.1 | 1 | 527,111 | 357 | 434 | 59 | 21,788 | 99,7 | 2 | 8 | 75 | 34 | 58 | 59 | ||
14 | 2 | 527,111 | 357 | 434 | 0 | 21,788 | 100 | 0 | 8 | 100 | 30 | 58 | 52 | |||
15 | 3 | 527,111 | 357 | 434 | 0 | 21,788 | 100 | 0 | 8 | 100 | 25 | 58 | 43 | |||
16 | 5 | 527,111 | 357 | 434 | 0 | 21,788 | 100 | 0 | 8 | 100 | 14 | 58 | 24 | |||