Bioinformatics Commons^™

Predicting Protein Residue-Residue Contacts Using Random Forests And Deep Networks, Joseph Luttrell Iv, Tong Liu, Chaoyang Zhang, Zheng Wang

Faculty Publications

Background: The ability to predict which pairs of amino acid residues in a protein are in contact with each other offers many advantages for various areas of research that focus on proteins. For example, contact prediction can be used to reduce the computational complexity of predicting the structure of proteins and even to help identify functionally important regions of proteins. These predictions are becoming especially important given the relatively low number of experimentally determined protein structures compared to the amount of available protein sequence data.

Results: Here we have developed and benchmarked a set of machine learning methods …