… of multi-dimensional evidence, for designing the strategies to predict novel interactions,
and for making the results consistent with the increase of prediction coverage and accuracy. …

… We explain how the performance of PPI prediction can be improved if these issues are … The
robustness of RWS could be decreased by the simple cut-off-based strategy used to maintain …

… To better demonstrate the performance variability of the different methods, we ranked those
… to guide protein–protein interaction assays, by prioritizing interactions with a high predicted …

… are integrated by using various statistical strategies such as logistic … used in bioinformatics
research to enhance the prediction … improvement of plant-pathogen protein-protein interaction …

… supplement and guide wet-laboratory's experimental work [3]… of reported PPIs has increased
substantially. Especially, the … binding interface prediction method developed by modifying …

… In this work, we relied on three strategies to improve prediction … , ie, submodeling with three
feature groups; and (3) meta-learner … modifications of EGFR corroborates our predictions by …

… protein structures improves the performance of protein–protein interaction (PPI) prediction. …
In the future, we will try to apply the new strategy of protein representation learning method …

… In more advanced use cases, analysis in targeting disruptive PPIs can even introduce new
cancer therapeutic strategies [7]. The basis of meaningful and comprehensive discoveries is …

… Using two of the comprehensive databases for protein-protein interaction and protein
modification site … Obviously, the predictive performance was poor, essentially being no better than …

… -based strategies. … an improvement in prediction accuracy compared to the 3-mers-based
methods. Specifically, there was approximately a 5% increase in accuracy in comparison with 3…