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Results from computational approaches predicting nuclear proteome membership |
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| Method |
NUCPROT proteins classified as 'nuclear' |
Accuracy |
RIKEN proteome proteins classified as 'nuclear' |
|
|
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| CELLO |
2,125 |
78% |
9,122 (47%) |
| pTARGET |
1,706 |
63% |
5,953 (30%) |
| Proteome Analyst |
1,803 |
66% |
4,084 (21%) |
| WoLF PSORT |
1,909 |
70% |
7,172 (37%) |
| MultiLoc |
1,561 |
57% |
5,137 (26%) |
| Yeast homology (E < 10-4) |
218 |
8.0% |
2,031 (8.0%) |
| Yeast homology (E < 10-30) |
47 |
1.7% |
691 (3.5%) |
| Mouse homology |
430 |
16% |
766 (3.9%) |
| Nucleo |
857 |
32% |
987 (5.0%) |
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For the subcellular localization prediction programs, proteins were considered to be incorrectly classified as 'not nuclear' if the method's top-ranked localization call was not 'nucleus' but the protein was in our high-quality dataset; proteins were considered to be correctly classified as 'nuclear' if the method's top-ranked localization call was 'nuclear' and the protein was in our high-quality dataset. | |||
Fink et al. Genome Biology 2008 9:R15 doi:10.1186/gb-2008-9-1-r15 |
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