Improving Protein Fold Recognition by Deep Learning Networks

Protein folding, structure prediction and design

(2014) David Baker   BIOCHEMICAL SOCIETY TRANSACTIONS

Improving protein fold recognition by random forest

(2014) Taeho Jo et al.   BMC BIOINFORMATICS

A study and benchmark of DNcon: a method for protein residue-residue contact prediction using deep networks

(2013) Jesse Eickholt et al.   BMC BIOINFORMATICS

DNdisorder: predicting protein disorder using boosting and deep networks

(2013) Jesse Eickholt et al.   BMC BIOINFORMATICS

Predicting protein residue–residue contacts using deep networks and boosting

(2012) Jesse Eickholt et al.   BIOINFORMATICS

Improving protein fold recognition and template-based modeling by employing probabilistic-based matching between predicted one-dimensional structural properties of query and corresponding native properties of templates

(2011) Y. Yang et al.   BIOINFORMATICS

SP5: Improving Protein Fold Recognition by Using Torsion Angle Profiles and Profile-Based Gap Penalty Model

(2008) Wei Zhang et al.   PLoS One