DeepSF: deep convolutional neural network for mapping protein sequences to folds.
Journal:
Bioinformatics (Oxford, England)
Published Date:
Apr 15, 2018
Abstract
MOTIVATION: Protein fold recognition is an important problem in structural bioinformatics. Almost all traditional fold recognition methods use sequence (homology) comparison to indirectly predict the fold of a target protein based on the fold of a template protein with known structure, which cannot explain the relationship between sequence and fold. Only a few methods had been developed to classify protein sequences into a small number of folds due to methodological limitations, which are not generally useful in practice.