Table 1.
PTM filtering tokens and information extraction assessment
|
PTM |
Filtering |
Generic corpus |
Positive corpora |
|||
|---|---|---|---|---|---|---|
| token | # Filtered astracts | # Retrieved abstracts | Precision | # Abstracts | Recall | |
| Acetylation |
“acet” |
26,144 |
1,753 |
65% |
97 |
89% |
| Amidation |
“amid” |
21,861 |
1,515 |
73% |
61 |
95% |
| Disulfide bond |
“disulf” |
6,933 |
1,095 |
94% |
514 |
75% |
| Glycosylation |
“glyco” |
31,379 |
2,746 |
73% |
464 |
85% |
| Methylation |
“methyl” |
28,015 |
664 |
57% |
47 |
87% |
| Phosphorylation |
“phospho” |
61,144 |
16,129 |
71% |
906 |
93% |
| Sulfation | “sulf” | 20,834 | 256 | 65% | 40 | 92% |
“Filtering token” is the term used to select the abstracts, “# filtered abstracts” is the number of abstracts which contain these terms, and “# retrieved abstracts” is the number of abstracts selected by the complete sentence extraction procedure. Precision was estimated based on manual analysis of 100 positive abstracts.