Motivation Protein fold recognition is an important problem in structural bioinformatics.
Almost all traditional fold recognition methods use sequence (homology) comparison to …

Predicting the fold of a protein from its sequence is a challenging and important problem in
bioinformatics. In this work, we developed the first deep learning method that can directly …

Motivation: Protein fold recognition is an important problem in structural bioinformatics.
Almost all traditional fold recognition methods use sequence (homology) comparison to …

Motivation Protein fold recognition is an important problem in structural bioinformatics.
Almost all traditional fold recognition methods use sequence (homology) comparison to …

Motivation: Protein fold recognition is an important problem in structural bioinformatics.
Almost all traditional fold recognition methods use sequence (homology) comparison to …

Motivation: Protein fold recognition is an important problem in structural bioinformatics.
Almost all traditional fold recognition methods use sequence (homology) comparison to …

Motivation Protein fold recognition is an important problem in structural bioinformatics.
Almost all traditional fold recognition methods use sequence (homology) comparison to …

Results We develop a deep 1D-convolution neural network (DeepSF) to directly classify any
protein sequence into one of 1195 known folds, which is useful for both fold recognition and …

DeepSF: deep convolutional neural network for mapping protein sequences to folds | CiNii
Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 …

Motivation Protein fold recognition is an important problem in structural bioinformatics.
Almost all traditional fold recognition methods use sequence (homology) comparison to …