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.
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.
no code implementations • 25 Jun 2020 • Ian Walsh, Dmytro Fishman, Dario Garcia-Gasulla, Tiina Titma, Gianluca Pollastri, The ELIXIR Machine Learning focus group, Jen Harrow, Fotis E. Psomopoulos, Silvio C. E. Tosatto
Modern biology frequently relies on machine learning to provide predictions and improve decision processes.