Improving fragment-based ab initio protein structure assembly using low-accuracy contact-map predictions

Abstract

Predicting protein structure from sequence is still not possible for all proteins. Here, the authors introduce a method that integrates deep learning and information about protein co-evolution to guide the prediction of non-homologous protein structures with greater accuracy.