Porter 5: state-of-the-art ab initio prediction of protein secondary structure in 3 and 8 classes

Torrisi, M.; Kaleel, M.; Pollastri, G.

doi:10.1101/289033

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bioRxiv · 10.1101/289033

Porter 5: state-of-the-art ab initio prediction of protein secondary structure in 3 and 8 classes

Torrisi, M.·Kaleel, M.·Pollastri, G.

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Abstract

MotivationAlthough Secondary Structure Predictors have been developed for more than 60 years, current ab initio methods have still some way to go to reach their theoretical limits. Moreover, the continuous effort towards harnessing ever increasing data sets and more sophisticated, deeper Machine Learning techniques, has not come to an end.\n\nResultsHere we present Porter 5, the last release of one of the best performing ab initio secondary structure predictor. Version 5 achieves 84% accuracy (84% SOV) when tested on 3 classes, and 73% accuracy (82% SOV) on 8 classes, on a large independent set, significantly outperforming all the most recent ab initio predictors we have tested.\n\nAvailabilityThe web and standalone versions of Porter5 are available at http://distilldeep.ucd.ie/porter.\n\nContactname@bio.com\n\nSupplementary informationSupplementary data are available at Bioinformatics online.

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Torrisi, M., Kaleel, M., Pollastri, G.. 2018-03-27. Porter 5: state-of-the-art ab initio prediction of protein secondary structure in 3 and 8 classes. https://doi.org/10.1101/289033

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