Fig. 2: Model predicts interacting residues and interacting proteins with high precision. | Nature Communications

Fig. 2: Model predicts interacting residues and interacting proteins with high precision.

From: Large-scale discovery of protein interactions at residue resolution using co-evolution calculated from genomic sequences

Fig. 2: Model predicts interacting residues and interacting proteins with high precision.

A Recall on the held-out fraction of the positive benchmark set (x-axis) and false positive rate on the held-out dataset of non-interacting complexes (y-axis) at a score threshold that gives the corresponding recall. Our logistic regression model (purple) reduces the false positive rate compared to the previous EV Complex score (blue). B Prediction of protein interaction is based on the prediction of interacting residues. Number of predicted interacting residue pairs for complexes inferred to interact (purple) or not inferred to interact (gray) based on our stringent protein complex prediction threshold. C Example performance on known interaction between ABC transporter permease and ATP binding subunit (UniProt IDs: Y1470_HAEIN and Y1471_HAEIN, PDB ID: 2NQ2 chains C and A [https://www.rcsb.org/structure/2NQ2]. D Example performance on known interaction between DNA primase PriS and PriL (UniProt IDs: PRIS_SULSO and PRIL_SULSO, PDB ID: 1ZT2 chain A and B [https://www.rcsb.org/structure/1ZT2]).

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