DeepSF: deep convolutional neural network for mapping protein sequences to folds
Motivation Protein fold recognition is an important problem in structural bioinformatics.
Almost all traditional fold recognition methods use sequence (homology) comparison to …
Almost all traditional fold recognition methods use sequence (homology) comparison to …
DeepSF: Deep Convolutional Neural Network for Mapping Protein Sequences to Folds
J Hou, B Adhikari, J Cheng - Proceedings of the 2018 ACM International …, 2018 - dl.acm.org
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 …
bioinformatics. In this work, we developed the first deep learning method that can directly …
[PDF][PDF] DeepSF: deep convolutional neural network for mapping protein sequences to folds
J Hou, B Adhikari, J Cheng - Bioinformatics, 2018 - researchgate.net
Motivation: Protein fold recognition is an important problem in structural bioinformatics.
Almost all traditional fold recognition methods use sequence (homology) comparison to …
Almost all traditional fold recognition methods use sequence (homology) comparison to …
DeepSF: deep convolutional neural network for mapping protein sequences to folds
J Hou, B Adhikari, J Cheng - arXiv e-prints, 2017 - ui.adsabs.harvard.edu
Motivation Protein fold recognition is an important problem in structural bioinformatics.
Almost all traditional fold recognition methods use sequence (homology) comparison to …
Almost all traditional fold recognition methods use sequence (homology) comparison to …
[PDF][PDF] DeepSF: deep convolutional neural network for mapping protein sequences to folds
J Hou, B Adhikari, J Cheng - Bioinformatics, 2018 - core.ac.uk
Motivation: Protein fold recognition is an important problem in structural bioinformatics.
Almost all traditional fold recognition methods use sequence (homology) comparison to …
Almost all traditional fold recognition methods use sequence (homology) comparison to …
[PDF][PDF] DeepSF: deep convolutional neural network for mapping protein sequences to folds
J Hou, B Adhikari, J Cheng - Bioinformatics, 2017 - badriadhikari.github.io
Motivation: Protein fold recognition is an important problem in structural bioinformatics.
Almost all traditional fold recognition methods use sequence (homology) comparison to …
Almost all traditional fold recognition methods use sequence (homology) comparison to …
DeepSF: Deep convolutional neural network for mapping protein sequences to folds
J Hou, B Adhikari, J Cheng - Bioinformatics, 2018 - irl.umsl.edu
Motivation Protein fold recognition is an important problem in structural bioinformatics.
Almost all traditional fold recognition methods use sequence (homology) comparison to …
Almost all traditional fold recognition methods use sequence (homology) comparison to …
DeepSF: deep convolutional neural network for mapping protein sequences to folds.
J Hou, B Adhikari, J Cheng - Bioinformatics (Oxford, England), 2018 - europepmc.org
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 …
protein sequence into one of 1195 known folds, which is useful for both fold recognition and …
[引用][C] DeepSF: deep convolutional neural network for mapping protein sequences to folds
J Hou, B Adhikari, J Cheng - Bioinformatics, 2017 - cir.nii.ac.jp
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 …
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 …
[PDF][PDF] DeepSF: deep convolutional neural network for mapping protein sequences to folds
J Hou, B Adhikari, J Cheng - Bioinformatics, 2018 - academic.oup.com
Motivation Protein fold recognition is an important problem in structural bioinformatics.
Almost all traditional fold recognition methods use sequence (homology) comparison to …
Almost all traditional fold recognition methods use sequence (homology) comparison to …