PT  - JOURNAL ARTICLE
AU  - Mirko Torrisi
AU  - Manaz Kaleel
AU  - Gianluca Pollastri
TI  - Porter 5: fast, state-of-the-art ab initio prediction of protein secondary structure in 3 and 8 classes
AID  - 10.1101/289033
DP  - 2018 Jan 01
TA  - bioRxiv
PG  - 289033
4099  - http://biorxiv.org/content/early/2018/10/05/289033.short
4100  - http://biorxiv.org/content/early/2018/10/05/289033.full
AB  - Motivation Although secondary structure predictors have been developed for decades, current ab initio methods have still some way to go to reach their theoretical limits. Moreover, the continuous effort towards harnessing ever expanding data sets and more sophisticated, deeper Ma-chine Learning techniques, has not come to an end.Results Here we present Porter 5, the latest release of one of the best performing ab initio secondary structure predictors. Version 5 achieves 84% accuracy (84% SOV) when tested on 3 classes, and 73% accuracy (77% SOV) on 8 classes, on a large independent set, significantly outper-forming all the most recent ab initio predictors we have tested.Availability The web and standalone versions of Porter5 are available at http://distilldeep.ucd.ie/porter/.Contact gianluca.pollastri{at}ucd.ie