Protein model quality assessment using 3D oriented convolutional neural networks

Deep convolutional networks for quality assessment of protein folds

(2018) Georgy Derevyanko et al.   BIOINFORMATICS

Comparative analysis of methods for evaluation of protein models against native structures

(2018) Kliment Olechnovič et al.   BIOINFORMATICS

Protein–Ligand Scoring with Convolutional Neural Networks

(2017) Matthew Ragoza et al.   Journal of Chemical Information and Modeling

VoroMQA: Assessment of protein structure quality using interatomic contact areas

(2017) Kliment Olechnovič et al.   PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS

Critical assessment of methods of protein structure prediction (CASP)-Round XII

(2017) John Moult et al.   PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS

DeepQA: improving the estimation of single protein model quality with deep belief networks

(2016) Renzhi Cao et al.   BMC BIOINFORMATICS

Protein single-model quality assessment by feature-based probability density functions

(2016) Renzhi Cao et al.   Scientific Reports

lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests

(2013) Valerio Mariani et al.   BIOINFORMATICS

CAD-score: A new contact area difference-based function for evaluation of protein structural models

(2013) Kliment Olechnovič et al.   PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS

Fast protein structure alignment using Gaussian overlap scoring of backbone peptide fragment similarity

(2012) David W. Ritchie et al.   BIOINFORMATICS

Improved model quality assessment using ProQ2

(2012) Arjun Ray et al.   BMC BIOINFORMATICS

A Novel Side-Chain Orientation Dependent Potential Derived from Random-Walk Reference State for Protein Fold Selection and Structure Prediction

(2010) Jian Zhang et al.   PLoS One

Pcons: A neural-network-based consensus predictor that improves fold recognition

(2002) Jesper Lundström et al.   PROTEIN SCIENCE