Prediction of protein assemblies, the next frontier: The CASP14-CAPRI experiment

By Marc F. Lensink, G. Brysbaert, Théo Mauri, Nurul Nadzirin, S. Velankar, Raphael A. G. Chaleil, Tereza Clarence, Paul A. Bates, R. Kong, Bin Liu and 97 more. 2021

103 citations recorded by the source corpus.

We present the results for CAPRI Round 50, the fourth joint CASP‐CAPRI protein assembly prediction challenge. The Round comprised a total of twelve targets, including six dimers, three trimers, and three higher‐order oligomers. Four of these were easy targets, for which good structural templates were available either for the full assembly, or for the main interfaces (of the higher‐order oligomers). Eight were difficult targets for which only distantly related templates were found for the individual subunits. Twenty‐five CAPRI groups including eight automatic servers submitted ~1250 models per target. Twenty groups including six servers participated in the CAPRI scoring challenge submitted ~190 models per target. The accuracy of the predicted models was evaluated using the classical CAPRI criteria. The prediction performance was measured by a weighted scoring scheme that takes into account the number of models of acceptable quality or higher submitted by each group as part of their five top‐ranking models. Compared to the previous CASP‐CAPRI challenge, top performing groups submitted such models for a larger fraction (70–75%) of the targets in this Round, but fewer of these models were of high accuracy. Scorer groups achieved stronger performance with more groups submitting correct models for 70–80% of the targets or achieving high accuracy predictions. Servers performed less well in general, except for the MDOCKPP and LZERD servers, who performed on par with human groups. In addition to these results, major advances in methodology are discussed, providing an informative overview of where the prediction of protein assemblies currently stands.

Subfields: Materials Chemistry, Molecular Biology

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Citations in the corpus

Assessment of the CASP14 Assembly Predictions (2021, methodology): “The assessment of these targets was carried out in close collaboration with the CAPRI organizers.(39) On average, the assembly prediction community calculated 110 models per target, where the number of models submitted inversely correlated with the target difficulty (Figure S2C).”