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The reason for the presence of only few overlaps is due to the fact that the host pathogen interaction dataset is not comprehensive.
To evaluate the quality of the resulting interaction dataset, we retested some of the interactions on a smaller scale and performed a series of pull down experiments on native proteins.
Thus, this subset of interaction dataset has been used in this analysis and the combined score of the pair of interacting proteins has been assigned as a weight of interaction [30].
We believe that with increasing drug-target interaction dataset RepTB will be able to offer better predictive value and is amenable for identification of drug-repurposing candidates for other disease indications too.
We demonstrate the efficiency of this temporal approach on a cellphone interaction dataset, pointing out features which prove themselves to perform well in this context, in particular the temporal profile of interactions and elapsed time between contacts.
We constructed a S. cerevisiae interaction network using the physical protein-protein interaction dataset of [24].
Systematic protein-protein interaction dataset for P. falciparum was made available by a previous study [34].
For a given protein interaction dataset, the protein physical interaction (PPI) degree was calculated.
Previous studies have shown that the MIPS interaction dataset has relatively high reliability compared to other data sources [33].
Individual datasets were analyzed for the extent of PPI coverage and overlap and were merged to generate one comprehensive interaction dataset.
The distribution of ISs in the SGI network hardly shows alleviating interactions (as compared to the whole interaction dataset, i.e., Fig. 3 in [14]).
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