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IntPred: a structure-based predictor of protein–protein interaction sites (CROSBI ID 280876)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Northey, Thomas C ; Barešić, Anja ; Martin, Andrew C R IntPred: a structure-based predictor of protein–protein interaction sites // Bioinformatics, 34 (2017), 2; 223-229. doi: 10.1093/bioinformatics/btx585

Podaci o odgovornosti

Northey, Thomas C ; Barešić, Anja ; Martin, Andrew C R

engleski

IntPred: a structure-based predictor of protein–protein interaction sites

Motivation Protein–protein interactions are vital for protein function with the average protein having between three and ten interacting partners. Knowledge of precise protein– protein interfaces comes from crystal structures deposited in the Protein Data Bank (PDB), but only 50% of structures in the PDB are complexes. There is therefore a need to predict protein–protein interfaces in silico and various methods for this purpose. Here we explore the use of a predictor based on structural features and which exploits random forest machine learning, comparing its performance with a number of popular established methods. Results On an independent test set of obligate and transient complexes, our IntPred predictor performs well (MCC = 0.370, ACC = 0.811, SPEC = 0.916, SENS = 0.411) and compares favourably with other methods. Overall, IntPred ranks second of six methods tested with SPPIDER having slightly better overall performance (MCC = 0.410, ACC = 0.759, SPEC = 0.783, SENS = 0.676), but considerably worse specificity than IntPred. As with SPPIDER, using an independent test set of obligate complexes enhanced performance (MCC = 0.381) while performance is somewhat reduced on a dataset of transient complexes (MCC = 0.303). The trade-off between sensitivity and specificity compared with SPPIDER suggests that the choice of the appropriate tool is application-dependent. Availability and implementation IntPred is implemented in Perl and may be downloaded for local use or run via a web server at www.bioinf.org.uk/intpred/. Supplementary information Supplementary data are available at Bioinformatics online.

protein-protein interactions, protein interface, random forest

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Podaci o izdanju

34 (2)

2017.

223-229

objavljeno

1367-4803

10.1093/bioinformatics/btx585

Povezanost rada

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Biotehnologija u biomedicini (prirodno područje, biomedicina i zdravstvo, biotehničko područje)

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