TY - JOUR T1 - Prediction of inter-residue contacts with DeepMetaPSICOV in CASP13 JF - bioRxiv DO - 10.1101/586800 SP - 586800 AU - Shaun M. Kandathil AU - Joe G. Greener AU - David T. Jones Y1 - 2019/01/01 UR - http://biorxiv.org/content/early/2019/03/26/586800.abstract N2 - In this article, we describe our efforts in contact prediction in the CASP13 experiment. We employed a new deep learning-based contact prediction tool, DeepMetaPSICOV (or DMP for short), together with new methods and data sources for alignment generation. DMP evolved from MetaPSICOV and DeepCov and combines the input feature sets used by these methods as input to a deep, fully convolutional residual neural network. We also improved our method for multiple sequence alignment generation and included metagenomic sequences in the search. We discuss successes and failures of our approach and identify areas where further improvements may be possible. DMP is freely available at: https://github.com/psipred/DeepMetaPSICOV. ER -