Fig. 5: Experimental evaluation of the top-seven human PPI prediction methods. | Nature Communications

Fig. 5: Experimental evaluation of the top-seven human PPI prediction methods.

From: Assessment of community efforts to advance network-based prediction of protein–protein interactions

Fig. 5: Experimental evaluation of the top-seven human PPI prediction methods.The alt text for this image may have been generated using AI.

A protein pair is considered to be positive if it is positive in at least one of the three Y2H assays, and negative if it is negative in all the three assays. MPS(B&T) is the most promising method, which simultaneously offers the highest number (376) of positive pairs and the lowest number (54) of negative pairs among its top-500 predicted PPIs, yielding a precision of 87.4%. Note that the number of unsuccessfully tested protein pairs (e.g., due to a pipetting failure) is not included in the precision calculation and this figure. See Supplementary Table 3 for the positive count, negative count, unsuccessful test count, and the precision of other methods.

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