FoldRec-C2C: protein fold recognition by combining cluster-to-cluster model and protein similarity network
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Title
FoldRec-C2C: protein fold recognition by combining cluster-to-cluster model and protein similarity network
Authors
Keywords
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Journal
BRIEFINGS IN BIOINFORMATICS
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2020-06-12
DOI
10.1093/bib/bbaa144
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- A brief survey of machine learning methods in protein sub-Golgi localization
- (2018) Wuritu Yang et al. Current Bioinformatics
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- (2018) John-Marc Chandonia et al. NUCLEIC ACIDS RESEARCH
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- (2018) Stephen K Burley et al. NUCLEIC ACIDS RESEARCH
- Protein fold classification with Grow-and-Learn network
- (2017) Özlem POLAT et al. Turkish Journal of Electrical Engineering and Computer Sciences
- CMsearch: simultaneous exploration of protein sequence space and structure space improves not only protein homology detection but also protein structure prediction
- (2016) Xuefeng Cui et al. BIOINFORMATICS
- Protein Folds Prediction with Hierarchical Structured SVM
- (2016) Dapeng Li et al. Current Proteomics
- dRHP-PseRA: detecting remote homology proteins using profile-based pseudo protein sequence and rank aggregation
- (2016) Junjie Chen et al. Scientific Reports
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- (2015) J. Lhota et al. BIOINFORMATICS
- Application of learning to rank to protein remote homology detection
- (2015) Bin Liu et al. BIOINFORMATICS
- Improving Protein Fold Recognition by Deep Learning Networks
- (2015) Taeho Jo et al. Scientific Reports
- Improving protein fold recognition by random forest
- (2014) Taeho Jo et al. BMC BIOINFORMATICS
- FFAS-3D: improving fold recognition by including optimized structural features and template re-ranking
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- 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
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- Independent HHsearch, Needleman-Wunsch-Based, and Motif Analyses Reveal the Overall Hierarchy for Most of the G Protein-Coupled Receptor Families
- (2011) K. J. V. Nordstrom et al. MOLECULAR BIOLOGY AND EVOLUTION
- HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment
- (2011) Michael Remmert et al. NATURE METHODS
- A new taxonomy-based protein fold recognition approach based on autocross-covariance transformation
- (2009) Qiwen Dong et al. BIOINFORMATICS
- A discriminative method for protein remote homology detection and fold recognition combining Top-n-grams and latent semantic analysis
- (2008) Bin Liu et al. BMC BIOINFORMATICS
- SP5: Improving Protein Fold Recognition by Using Torsion Angle Profiles and Profile-Based Gap Penalty Model
- (2008) Wei Zhang et al. PLoS One
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