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Title
A deep dense inception network for protein beta‐turn prediction
Authors
Keywords
-
Journal
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2019-07-11
DOI
10.1002/prot.25780
References
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Related references
Note: Only part of the references are listed.- MUFOLD-SS: New deep inception-inside-inception networks for protein secondary structure prediction
- (2018) Chao Fang et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Deep learning for computational biology
- (2016) Christof Angermueller et al. Molecular Systems Biology
- Deep learning
- (2015) Yann LeCun et al. NATURE
- In silicoplatform for predicting and initiating β-turns in a protein at desired locations
- (2015) Harinder Singh et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- The Protein-Folding Problem, 50 Years On
- (2012) K. A. Dill et al. SCIENCE
- Improving the performance of β-turn prediction using predicted shape strings and a two-layer support vector machine model
- (2011) Zehui Tang et al. BMC BIOINFORMATICS
- HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment
- (2011) Michael Remmert et al. NATURE METHODS
- Predicting beta-turns and their types using predicted backbone dihedral angles and secondary structures
- (2010) Petros Kountouris et al. BMC BIOINFORMATICS
- NetTurnP – Neural Network Prediction of Beta-turns by Use of Evolutionary Information and Predicted Protein Sequence Features
- (2010) Bent Petersen et al. PLoS One
- Trends in template/fragment-free protein structure prediction
- (2010) Yaoqi Zhou et al. THEORETICAL CHEMISTRY ACCOUNTS
- A novel method for accurate one-dimensional protein structure prediction based on fragment matching
- (2009) Tuping Zhou et al. BIOINFORMATICS
- Prediction of beta-turns at over 80% accuracy based on an ensemble of predicted secondary structures and multiple alignments
- (2008) Ce Zheng et al. BMC BIOINFORMATICS
- Prediction of β-turns and β-turn types by a novel bidirectional Elman-type recurrent neural network with multiple output layers (MOLEBRNN)
- (2008) Andreas Kirschner et al. GENE
- Using support vector machine to predict β- and γ-turns in proteins
- (2008) Xiuzhen Hu et al. JOURNAL OF COMPUTATIONAL CHEMISTRY
- PROTEUS2: a web server for comprehensive protein structure prediction and structure-based annotation
- (2008) S. Montgomerie et al. NUCLEIC ACIDS RESEARCH
- The Jpred 3 secondary structure prediction server
- (2008) C. Cole et al. NUCLEIC ACIDS RESEARCH
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