Search Results for author: Gianluca Pollastri

Found 3 papers, 2 papers with code

Deeper Profiles and Cascaded Recurrent and Convolutional Neural Networks for state-of-the-art Protein Secondary Structure Prediction

1 code implementation Scientific Reports 2019 Mirko Torrisi, Manaz Kaleel, Gianluca Pollastri

In spite of this, even the most sophisticated ab initio SS predictors are not able to reach the theoretical limit of three-state prediction accuracy (88–90%), while only a few predict more than the 3 traditional Helix, Strand and Coil classes.

Protein Secondary Structure Prediction

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

1 code implementation bioRxiv 2018 Mirko Torrisi, Manaz Kaleel, Gianluca Pollastri

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.

Protein Secondary Structure Prediction

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