The pre-calculated interactions were obtained by performing Interolog-based computational approach on Triticum aestivum and Puccinia proteomes.

Step 1: The whole proteomes of T. aestivum and Puccinia species were BLAST searched against the known (standard) protein-protein interaction databases (DIP, BioGRID, HPIDB, IntAct, MINT, PHI-base, and STRING).

Step 2: 112 BLAST parameter combinations were randomly generated on the basis of sequence identity (30%, 40%, 50%, 60%), evalue (1e-10, 1e-50, 1e-05, 1e-04, 1e-20, 1e-30, 1e-25), and sequence coverage (40%, 50%, 60%, 80%).

Step 3: The combination with identity >= 30%, evalue <= 1e-04, and coverage >= 40% was considered as the best combination as the highest number of Puccinia effector proteins were identified in the interactions predicted using this combination.

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We have also provided the respective interaction databases, in reference to which these interactions have been predicted.