Prediction of protein coarse contact maps using recursive neural networks

Tools for predicting topological features such as residue contacts can serve as a crucial step towards prediction of protein folding from sequence. In this paper we focus on the prediction of contacts between secondary structure segments. We introduce a new machine learning approach for scoring candidate contact maps and we show that the predicted score can be effectively used to guide a graph search algorithm.