Binary Input Encoding Strategy Based Neural Network for Globulin Protein Inter-residue Contacts Map Prediction

摘要

Inter-residue contacts map prediction is one of the most important intermediate steps to the protein folding problem. In this paper, we focus on protein inter-residue contacts map prediction based on radial basis function neural network (RBFNN), and propose a novel binary encoding scheme for the purpose of learning the inter-residue contact patterns, and get a better prediction results.