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For each protein interaction pair in the reference dataset, we tried to identify its neighbors based on functional distances between their individual proteins.
In the training phase, for each PPI pair in the reference dataset, we tried to determine its close neighbors or functional similar interaction pairs.
After filtering, COG assignments of the putative gene products were generated according to COG identification, using the best-hit pair in the reference data set.
We compute the AUC50 for each TF represented by at least one TF GO pair in the reference set for a given species.
After filtering, COG assignments of the putative gene products were generated according to COG identification, taking the best-hit pair in the reference data set.
20 In predicting the consensus secondary structure for a multiple sequence alignment, a predicted base pair (i, j) is inconsistent if column i in the alignment is paired with column q, q ≠ j, or column j is paired with column p, p ≠ i, and p, q form a base pair in the reference structure of the alignment.
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TP refers to those base pairs in the reference structure which are also predicted correctly.
For the 130 compound target interaction pairs in the reference list the earliest publication in the scientific literature that was found by the manual search was also found in ChEMBL for 60 (i.e. 46.2%) of the pairs.
The principle adopted for the initial classification algorithm was therefore to take a group of consecutive segments and test the cumulative distance of those segments against the cumulative distance of the same number of station-to-station pairs in the reference database to find the best match.
Then for each of these plausible domain patterns, we try to collect a list of protein interaction pairs in the reference dataset that contain the pattern.
The χ2 value is computed using the following formula, <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0001562.e002.PNG" class= inline-graphic"/> N is the total number of PPI pairs in the reference dataset.
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