MotifCNN-fold: protein fold recognition based on fold-specific features extracted by motif-based convolutional neural networks
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
MotifCNN-fold: protein fold recognition based on fold-specific features extracted by motif-based convolutional neural networks
Authors
Keywords
-
Journal
BRIEFINGS IN BIOINFORMATICS
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2019-11-25
DOI
10.1093/bib/bbz133
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- i6mA-Pred: Identifying DNA N6-methyladenine sites in the rice genome
- (2019) Wei Chen et al. BIOINFORMATICS
- Protein Fold Recognition based on Multi-view Modeling
- (2019) Ke Yan et al. BIOINFORMATICS
- Simultaneous Interrogation of Cancer Omics to Identify Subtypes With Significant Clinical Differences
- (2019) Aodan Xu et al. Frontiers in Genetics
- BioSeq-Analysis2.0: an updated platform for analyzing DNA, RNA and protein sequences at sequence level and residue level based on machine learning approaches
- (2019) Bin Liu et al. NUCLEIC ACIDS RESEARCH
- ProtDet-CCH: Protein remote homology detection by combining Long Short-Term Memory and ranking methods
- (2018) Bin Liu et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- HOGMMNC: a higher order graph matching with multiple network constraints model for gene–drug regulatory modules identification
- (2018) Jiazhou Chen et al. BIOINFORMATICS
- Protein remote homology detection and fold recognition based on Sequence-Order Frequency Matrix
- (2017) Bin Liu et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- A comprehensive review and comparison of different computational methods for protein remote homology detection
- (2016) Junjie Chen et al. BRIEFINGS IN BIOINFORMATICS
- Protein Folds Prediction with Hierarchical Structured SVM
- (2016) Dapeng Li et al. Current Proteomics
- Identification of immunoglobulins using Chou's pseudo amino acid composition with feature selection technique
- (2016) Hua Tang et al. Molecular BioSystems
- Identification of Secretory Proteins inMycobacterium tuberculosisUsing Pseudo Amino Acid Composition
- (2016) Huan Yang et al. Biomed Research International
- dRHP-PseRA: detecting remote homology proteins using profile-based pseudo protein sequence and rank aggregation
- (2016) Junjie Chen et al. Scientific Reports
- HAlign: Fast multiple similar DNA/RNA sequence alignment based on the centre star strategy
- (2015) Quan Zou et al. BIOINFORMATICS
- iMiRNA-PseDPC: microRNA precursor identification with a pseudo distance-pair composition approach
- (2015) Bin Liu et al. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
- Improving Protein Fold Recognition by Deep Learning Networks
- (2015) Taeho Jo et al. Scientific Reports
- CCMpred—fast and precise prediction of protein residue–residue contacts from correlated mutations
- (2014) Stefan Seemayer et al. BIOINFORMATICS
- Improving protein fold recognition by random forest
- (2014) Taeho Jo et al. BMC BIOINFORMATICS
- MRFalign: Protein Homology Detection through Alignment of Markov Random Fields
- (2014) Jianzhu Ma et al. PLoS Computational Biology
- FFAS-3D: improving fold recognition by including optimized structural features and template re-ranking
- (2013) Dong Xu et al. BIOINFORMATICS
- QChIPat: a quantitative method to identify distinct binding patterns for two biological ChIP-seq samples in different experimental conditions
- (2013) Bin Liu et al. BMC GENOMICS
- Hierarchical Classification of Protein Folds Using a Novel Ensemble Classifier
- (2013) Chen Lin et al. PLoS One
- Improved method for predicting protein fold patterns with ensemble classifiers
- (2012) W. Chen et al. GENETICS AND MOLECULAR RESEARCH
- Improving protein fold recognition and template-based modeling by employing probabilistic-based matching between predicted one-dimensional structural properties of query and corresponding native properties of templates
- (2011) Y. Yang et al. BIOINFORMATICS
- HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment
- (2011) Michael Remmert et al. NATURE METHODS
- SP5: Improving Protein Fold Recognition by Using Torsion Angle Profiles and Profile-Based Gap Penalty Model
- (2008) Wei Zhang et al. PLoS One
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started