ProtFold-DFG: protein fold recognition by combining Directed Fusion Graph and PageRank algorithm

FoldRec-C2C: protein fold recognition by combining cluster-to-cluster model and protein similarity network

(2020) Jiangyi Shao et al.   BRIEFINGS IN BIOINFORMATICS

Protein Fold Recognition based on Multi-view Modeling

(2019) Ke Yan et al.   BIOINFORMATICS

Relevance Of Machine Learning Techniques and Various Protein Features in Protein Fold Classification: A Review

(2019) Komal Patil et al.   Current Bioinformatics

Protein Function Prediction: From Traditional Classifier to Deep Learning

(2019) Zhibin Lv et al.   PROTEOMICS

MotifCNN-fold: protein fold recognition based on fold-specific features extracted by motif-based convolutional neural networks

(2019) Chen-Chen Li et al.   BRIEFINGS IN BIOINFORMATICS

DeepSVM-fold: protein fold recognition by combining support vector machines and pairwise sequence similarity scores generated by deep learning networks

(2019) Bin Liu et al.   BRIEFINGS IN BIOINFORMATICS

Fold-LTR-TCP: protein fold recognition based on triadic closure principle

(2019) Bin Liu et al.   BRIEFINGS IN BIOINFORMATICS

The Advances and Challenges of Deep Learning Application in Biological Big Data Processing

(2018) Li Peng et al.   Current Bioinformatics

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

A new method to improve network topological similarity search: applied to fold recognition

(2015) J. Lhota 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

(2013) Dong Xu et al.   BIOINFORMATICS

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

A new taxonomy-based protein fold recognition approach based on autocross-covariance transformation

(2009) Qiwen Dong et al.   BIOINFORMATICS

SP5: Improving Protein Fold Recognition by Using Torsion Angle Profiles and Profile-Based Gap Penalty Model

(2008) Wei Zhang et al.   PLoS One